Sample records for agricultural information systems

  1. Data Entities and Information System Matrix for Integrated Agriculture Information System (IAIS)

    NASA Astrophysics Data System (ADS)

    Budi Santoso, Halim; Delima, Rosa

    2018-03-01

    Integrated Agriculture Information System is a system that is developed to process data, information, and knowledge in Agriculture sector. Integrated Agriculture Information System brings valuable information for farmers: (1) Fertilizer price; (2) Agriculture technique and practise; (3) Pest management; (4) Cultivation; (5) Irrigation; (6) Post harvest processing; (7) Innovation in agriculture processing. Integrated Agriculture Information System contains 9 subsystems. To bring an integrated information to the user and stakeholder, it needs an integrated database approach. Thus, researchers describes data entity and its matrix relate to subsystem in Integrated Agriculture Information System (IAIS). As a result, there are 47 data entities as entities in single and integrated database.

  2. Changes in Information Systems in Czech Agriculture

    ERIC Educational Resources Information Center

    Slavik, Milan

    2004-01-01

    A study carried out in 1998 (reported in the Journal of Agricultural Education and Extension, 2003) of the information systems used by farmers in the Czech Republic to access information and advice was repeated in 2003. The research aim was to assess whether, and how, the systems had changed during these five years. The perceived importance of 10…

  3. Information for Agricultural Development.

    ERIC Educational Resources Information Center

    Kaungamno, E. E.

    This paper describes the major international agricultural information services, sources, and systems; outlines the existing information situation in Tanzania as it relates to problems of agricultural development; and reviews the improvements in information provision resources required to support the process of agricultural development in Tanzania.…

  4. Energy for agriculture. A computerized information retrieval system

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Stout, B.A.; Myers, C.A.

    Energy may come from the sun or the earth or be the product of plant materials or agricultural wastes. Whatever its source, energy is indispensable to our way of life, beginning with the production, processing, and distribution of abundant, high quality food and fiber supplies. This specialized bibliography on the subject of energy for agriculture contains 2613 citations to the literature for 1973 through May 1979. Originally issued by Michigan State University (MSU), it is being reprinted and distributed by the U.S. Department of Agriculture. The literature citations will be incorporated into AGRICOLA (Agricultural On-Line Access), the comprehensive bibliographic datamore » base maintained by Technical Information Systems (TIS), a component of USDA's Science and Education Administration (SEA). The citations and the listing of research projects will be combined with other relevant references to provide a continuously updated source of information on energy programs in the agricultural field. No abstracts are included.« less

  5. An Interoperable, Agricultural Information System Based on Satellite Remote Sensing Data

    NASA Technical Reports Server (NTRS)

    Teng, William; Chiu, Long; Doraiswamy, Paul; Kempler, Steven; Liu, Zhong; Pham, Long; Rui, Hualan

    2005-01-01

    Monitoring global agricultural crop conditions during the growing season and estimating potential seasonal production are critically important for market development of US. agricultural products and for global food security. The Goddard Space Flight Center Earth Sciences Data and Information Services Center Distributed Active Archive Center (GES DISC DAAC) is developing an Agricultural Information System (AIS), evolved from an existing TRMM Online Visualization and Analysis System (TOVAS), which will operationally provide satellite remote sensing data products (e.g., rainfall) and services. The data products will include crop condition and yield prediction maps, generated from a crop growth model with satellite data inputs, in collaboration with the USDA Agricultural Research Service. The AIS will enable the remote, interoperable access to distributed data, by using the GrADS-DODS Server (GDS) and by being compliant with Open GIS Consortium standards. Users will be able to download individual files, perform interactive online analysis, as well as receive operational data flows. AIS outputs will be integrated into existing operational decision support systems for global crop monitoring, such as those of the USDA Foreign Agricultural Service and the U.N. World Food Program.

  6. Designing a Model for Integration of Information and Communication Technologies (ICTs) in the Iranian Agricultural Research System

    ERIC Educational Resources Information Center

    Sharifzadeh, Aboulqasem; Abdollahzadeh, Gholam Hossein; Sharifi, Mahnoosh

    2009-01-01

    Capacity Development is needed in the Iranian Agricultural System. Integrating Information and Communication Technologies (ICTs) in the agricultural research system is an appropriate capacity development mechanism. The appropriate application of ICTs and information such as a National Agricultural Information System requires a systemically…

  7. Analysis And Assistant Planning System Ofregional Agricultural Economic Inform

    NASA Astrophysics Data System (ADS)

    Han, Jie; Zhang, Junfeng

    For the common problems existed in regional development and planning, we try to design a decision support system for assisting regional agricultural development and alignment as a decision-making tool for local government and decision maker. The analysis methods of forecast, comparative advantage, liner programming and statistical analysis are adopted. According to comparative advantage theory, the regional advantage can be determined by calculating and comparing yield advantage index (YAI), Scale advantage index (SAI), Complicated advantage index (CAI). Combining with GIS, agricultural data are presented as a form of graph such as area, bar and pie to uncover the principle and trend for decision-making which can't be found in data table. This system provides assistant decisions for agricultural structure adjustment, agro-forestry development and planning, and can be integrated to information technologies such as RS, AI and so on.

  8. Web-based information system design of agricultural management towards self-sufficiency local food in North Aceh

    NASA Astrophysics Data System (ADS)

    Salahuddin; Husaini; Anwar

    2018-01-01

    The agricultural sector, especially food crops and horticulture, is one of the sectors driving regional economic pillars in Aceh Utara Regency of Aceh Province. Some agricultural products and food crops that become excellent products in North Aceh regency are: rice, corn, peanuts, long beans, cassava and soybeans. The Local Government of North Aceh Regency has not been optimal in empowering and maximizing the potential of agriculture resources. One of the obstacles is caused by the North Aceh Regency Government does not have an adequate database and web information system/GIS (Geographic Information System) for data management of agricultural centre in North Aceh Regency. This research is expected to assist local government of North Aceh Regency in managing agriculture sector to realize local food independence the region in supporting national food security program. The method in this research is using waterfall method for designing and making information system by conducting sequential process starting from data collection stage, requirement analysis, design, coding, testing and implementation system. The result of this research is a web-based information system for the management of agriculture superior agricultural product centre in North Aceh. This application provides information mapping the location of agricultural superior product producers and mapping of potential locations for the development of certain commodities in North Aceh Regency region in realizing food self-sufficiency in the region.

  9. Implementation of AN Agricultural Environmental Information System (aeis) for the Sanjiang Plain, Ne-China

    NASA Astrophysics Data System (ADS)

    Zhao, Q.; Brocks, S.; Lenz-Wiedemann, V.; Miao, Y.; Jiang, R.; Chen, X.; Zhang, F.; Bareth, G.

    2012-07-01

    The Sino-German Project between the China Agricultural University and the University of Cologne, Germany, focuses on regional agro-ecosystem modelling. One major focus of the cooperation activity is the establishment of joint rice field experiment research in Jiansanjiang, located in the Sanjiang Plain (Heilongjiang Province, north-eastern part of China), to investigate the different agricultural practices and their impact on yield and environment. An additional task is to set-up an Agricultural Environmental Information System (AEIS) for the Sanjiang Plain (SJP), which covers more than 100 000 km2. Research groups from Geography (e.g. GIS & Remote Sensing) and Plant Nutrition (e.g. Precision Agriculture) are involved in the project. The major aim of the AEIS for the SJP is to provide information about (i) agriculture in the region, (ii) the impact of agricultural practices on the environment, and (iii) simulation scenarios for sustainable strategies. Consequently, the AEIS for the SJP provides information for decision support and therefore could be regarded as a Spatial Decision Support System (SDSS), too. The investigation of agricultural and environmental issues has a spatial context, which requires the management, handling, and analysis of spatial data. The use of GIS enables the capture, storage, analysis and presentation of spatial data. Therefore, GIS is the major tool for the set-up of the AEIS for the SJP. This contribution presents the results of linking agricultural statistics with GIS to provide information about agriculture in the SJP and discusses the benefits of this method as well as the integration of methods to produce new data.

  10. Design of System Scheme and Operationmechanism on Agricultural Science &Technology Information Service System `110'

    NASA Astrophysics Data System (ADS)

    Wu, Yongchang; Hu, Zhiquan; Xiao, Bilin; Li, Quanxin

    Agricultural science & technology information service system ‘110’ (ASTISS-110), connected through unitary telephone hotline as well as multipurpose service of the network, television and video etc, is one of the most characteristic content of the Chinese rural informatization. ASTISS-110 is a low cost and high efficiency way to make the agricultural science & technology achievements extension and achieve the combination of science & technology with farmers in the rural area. This paper would primary focus on the ASTISS-110 foundation and system principle. On basis of its main functions and system objectives, we put forward the combination of the ‘Sky- Land-People’ technical solution, and analyze the management operation mechanism from commonweal service, enterprise management and commercialization operation.

  11. Data Processing: Status of Agriculture's Electronic Dissemination of Information System. Fact Sheet for the Chairman, Subcommittee on Government Information, Justice, and Agriculture, Committee on Government Operations, House of Representatives.

    ERIC Educational Resources Information Center

    General Accounting Office, Washington, DC.

    Written in response to a request to review the implementation of the Department of Agriculture's Electronic Dissemination of Information (EDI) system, this fact sheet discusses the performance of the contractor operating the system and the role of EDI in the Department of Agriculture's overall public dissemination activities. A letter from the…

  12. Challenges of agricultural monitoring: integration of the Open Farm Management Information System into GEOSS and Digital Earth

    NASA Astrophysics Data System (ADS)

    Řezník, T.; Kepka, M.; Charvát, K.; Charvát, K., Jr.; Horáková, S.; Lukas, V.

    2016-04-01

    From a global perspective, agriculture is the single largest user of freshwater resources, each country using an average of 70% of all its surface water supplies. An essential proportion of agricultural water is recycled back to surface water and/or groundwater. Agriculture and water pollution is therefore the subject of (inter)national legislation, such as the Clean Water Act in the United States of America, the European Water Framework Directive, and the Law of the People's Republic of China on the Prevention and Control of Water Pollution. Regular monitoring by means of sensor networks is needed in order to provide evidence of water pollution in agriculture. This paper describes the benefits of, and open issues stemming from, regular sensor monitoring provided by an Open Farm Management Information System. Emphasis is placed on descriptions of the processes and functionalities available to users, the underlying open data model, and definitions of open and lightweight application programming interfaces for the efficient management of collected (spatial) data. The presented Open Farm Management Information System has already been successfully registered under Phase 8 of the Global Earth Observation System of Systems (GEOSS) Architecture Implementation Pilot in order to support the wide variety of demands that are primarily aimed at agriculture pollution monitoring. The final part of the paper deals with the integration of the Open Farm Management Information System into the Digital Earth framework.

  13. Food and Agriculture Organization: A Clearinghouse for Agricultural Information.

    ERIC Educational Resources Information Center

    Joling, Carole

    1989-01-01

    Describes the functions of the United Nations Food and Agriculture Organization (FAO), which is an international clearinghouse for agricultural information. The discussion focuses on the information formats provided by the agency and the dissemination channels used for FAO information. Lists of finding aids for FAO materials and libraries…

  14. Integrating Sensory/Actuation Systems in Agricultural Vehicles

    PubMed Central

    Emmi, Luis; Gonzalez-de-Soto, Mariano; Pajares, Gonzalo; Gonzalez-de-Santos, Pablo

    2014-01-01

    In recent years, there have been major advances in the development of new and more powerful perception systems for agriculture, such as computer-vision and global positioning systems. Due to these advances, the automation of agricultural tasks has received an important stimulus, especially in the area of selective weed control where high precision is essential for the proper use of resources and the implementation of more efficient treatments. Such autonomous agricultural systems incorporate and integrate perception systems for acquiring information from the environment, decision-making systems for interpreting and analyzing such information, and actuation systems that are responsible for performing the agricultural operations. These systems consist of different sensors, actuators, and computers that work synchronously in a specific architecture for the intended purpose. The main contribution of this paper is the selection, arrangement, integration, and synchronization of these systems to form a whole autonomous vehicle for agricultural applications. This type of vehicle has attracted growing interest, not only for researchers but also for manufacturers and farmers. The experimental results demonstrate the success and performance of the integrated system in guidance and weed control tasks in a maize field, indicating its utility and efficiency. The whole system is sufficiently flexible for use in other agricultural tasks with little effort and is another important contribution in the field of autonomous agricultural vehicles. PMID:24577525

  15. Integrating sensory/actuation systems in agricultural vehicles.

    PubMed

    Emmi, Luis; Gonzalez-de-Soto, Mariano; Pajares, Gonzalo; Gonzalez-de-Santos, Pablo

    2014-02-26

    In recent years, there have been major advances in the development of new and more powerful perception systems for agriculture, such as computer-vision and global positioning systems. Due to these advances, the automation of agricultural tasks has received an important stimulus, especially in the area of selective weed control where high precision is essential for the proper use of resources and the implementation of more efficient treatments. Such autonomous agricultural systems incorporate and integrate perception systems for acquiring information from the environment, decision-making systems for interpreting and analyzing such information, and actuation systems that are responsible for performing the agricultural operations. These systems consist of different sensors, actuators, and computers that work synchronously in a specific architecture for the intended purpose. The main contribution of this paper is the selection, arrangement, integration, and synchronization of these systems to form a whole autonomous vehicle for agricultural applications. This type of vehicle has attracted growing interest, not only for researchers but also for manufacturers and farmers. The experimental results demonstrate the success and performance of the integrated system in guidance and weed control tasks in a maize field, indicating its utility and efficiency. The whole system is sufficiently flexible for use in other agricultural tasks with little effort and is another important contribution in the field of autonomous agricultural vehicles.

  16. Study on an agricultural environment monitoring server system using Wireless Sensor Networks.

    PubMed

    Hwang, Jeonghwan; Shin, Changsun; Yoe, Hyun

    2010-01-01

    This paper proposes an agricultural environment monitoring server system for monitoring information concerning an outdoors agricultural production environment utilizing Wireless Sensor Network (WSN) technology. The proposed agricultural environment monitoring server system collects environmental and soil information on the outdoors through WSN-based environmental and soil sensors, collects image information through CCTVs, and collects location information using GPS modules. This collected information is converted into a database through the agricultural environment monitoring server consisting of a sensor manager, which manages information collected from the WSN sensors, an image information manager, which manages image information collected from CCTVs, and a GPS manager, which processes location information of the agricultural environment monitoring server system, and provides it to producers. In addition, a solar cell-based power supply is implemented for the server system so that it could be used in agricultural environments with insufficient power infrastructure. This agricultural environment monitoring server system could even monitor the environmental information on the outdoors remotely, and it could be expected that the use of such a system could contribute to increasing crop yields and improving quality in the agricultural field by supporting the decision making of crop producers through analysis of the collected information.

  17. Innovations in information management to enhance agriculture: A research perspective

    USDA-ARS?s Scientific Manuscript database

    Information management should be the cornerstone for innovative agricultural systems; however, the challenge remains on how to utilize all of the components to enhance agriculture. The enhancement of agriculture is often considered from only a yield perspective. This is an important factor and effo...

  18. Comparison of Online Agricultural Information Services.

    ERIC Educational Resources Information Center

    Reneau, Fred; Patterson, Richard

    1984-01-01

    Outlines major online agricultural information services--agricultural databases, databases with agricultural services, educational databases in agriculture--noting services provided, access to the database, and costs. Benefits of online agricultural database sources (availability of agricultural marketing, weather, commodity prices, management…

  19. Multipath for Agricultural and Rural Information Services in China

    NASA Astrophysics Data System (ADS)

    Ge, Ningning; Zang, Zhiyuan; Gao, Lingwang; Shi, Qiang; Li, Jie; Xing, Chunlin; Shen, Zuorui

    Internet cannot provide perfect information services for farmers in rural regions in China, because farmers in rural regions can hardly access the internet by now. But the wide coverage of mobile signal, telephone line, and television network, etc. gave us a chance to solve the problem. The integrated pest management platform of Northern fruit trees were developed based on the integrated technology, which can integrate the internet, mobile and fixed-line telephone network, and television network, to provide integrated pest management(IPM) information services for farmers in rural regions in E-mail, telephone-voice, short message, voice mail, videoconference or other format, to users' telephone, cell phone, personal computer, personal digital assistant(PDA), television, etc. alternatively. The architecture and the functions of the system were introduced in the paper. The system can manage the field monitoring data of agricultural pests, deal with enquiries to provide the necessary information to farmers accessing the interactive voice response(IVR) in the system with the experts on-line or off-line, and issue the early warnings about the fruit tree pests when it is necessary according to analysis on the monitoring data about the pests of fruit trees in variety of ways including SMS, fax, voice and intersystem e-mail.The system provides a platform and a new pattern for agricultural technology extension with a high coverage rate of agricultural technology in rural regions, and it can solve the problem of agriculture information service 'last kilometer' in China. The effectiveness of the system was certified.

  20. a Study on the Document Information Service of the National Agricultural Library for Agricultural Sci-Tech Innovation in China

    NASA Astrophysics Data System (ADS)

    Xu, Qian; Meng, Xianxue

    This paper presents the significant function of the Chinese National Agricultural Library (CNAL) in the agricultural sci-tech innovation system in China, analyses the development of collection and service in the CNAL, explores the challenge towards sustain and develop information services for the agricultural sci-tech research and innovation, at last proposes the strategy for sci-tech document information service development.

  1. Research on Agriculture Domain Meta-Search Engine System

    NASA Astrophysics Data System (ADS)

    Xie, Nengfu; Wang, Wensheng

    The rapid growth of agriculture web information brings a fact that search engine can not return a satisfied result for users’ queries. In this paper, we propose an agriculture domain search engine system, called ADSE, that can obtains results by an advance interface to several searches and aggregates them. We also discuss two key technologies: agriculture information determination and engine.

  2. Brief History of Agricultural Systems Modeling

    NASA Technical Reports Server (NTRS)

    Jones, James W.; Antle, John M.; Basso, Bruno O.; Boote, Kenneth J.; Conant, Richard T.; Foster, Ian; Godfray, H. Charles J.; Herrrero, Mario; Howitt, Richard E.; Janssen, Sandor; hide

    2016-01-01

    Agricultural systems science generates knowledge that allows researchers to consider complex problems or take informed agricultural decisions. The rich history of this science exemplifies the diversity of systems and scales over which they operate and have been studied. Modeling, an essential tool in agricultural systems science, has been accomplished by scientists from a wide range of disciplines, who have contributed concepts and tools over more than six decades. As agricultural scientists now consider the next generation models, data, and knowledge products needed to meet the increasingly complex systems problems faced by society, it is important to take stock of this history and its lessons to ensure that we avoid re-invention and strive to consider all dimensions of associated challenges. To this end, we summarize here the history of agricultural systems modeling and identify lessons learned that can help guide the design and development of next generation of agricultural system tools and methods. A number of past events combined with overall technological progress in other fields have strongly contributed to the evolution of agricultural system modeling, including development of process-based bio-physical models of crops and livestock, statistical models based on historical observations, and economic optimization and simulation models at household and regional to global scales. Characteristics of agricultural systems models have varied widely depending on the systems involved, their scales, and the wide range of purposes that motivated their development and use by researchers in different disciplines. Recent trends in broader collaboration across institutions, across disciplines, and between the public and private sectors suggest that the stage is set for the major advances in agricultural systems science that are needed for the next generation of models, databases, knowledge products and decision support systems. The lessons from history should be considered

  3. Brief history of agricultural systems modeling.

    PubMed

    Jones, James W; Antle, John M; Basso, Bruno; Boote, Kenneth J; Conant, Richard T; Foster, Ian; Godfray, H Charles J; Herrero, Mario; Howitt, Richard E; Janssen, Sander; Keating, Brian A; Munoz-Carpena, Rafael; Porter, Cheryl H; Rosenzweig, Cynthia; Wheeler, Tim R

    2017-07-01

    Agricultural systems science generates knowledge that allows researchers to consider complex problems or take informed agricultural decisions. The rich history of this science exemplifies the diversity of systems and scales over which they operate and have been studied. Modeling, an essential tool in agricultural systems science, has been accomplished by scientists from a wide range of disciplines, who have contributed concepts and tools over more than six decades. As agricultural scientists now consider the "next generation" models, data, and knowledge products needed to meet the increasingly complex systems problems faced by society, it is important to take stock of this history and its lessons to ensure that we avoid re-invention and strive to consider all dimensions of associated challenges. To this end, we summarize here the history of agricultural systems modeling and identify lessons learned that can help guide the design and development of next generation of agricultural system tools and methods. A number of past events combined with overall technological progress in other fields have strongly contributed to the evolution of agricultural system modeling, including development of process-based bio-physical models of crops and livestock, statistical models based on historical observations, and economic optimization and simulation models at household and regional to global scales. Characteristics of agricultural systems models have varied widely depending on the systems involved, their scales, and the wide range of purposes that motivated their development and use by researchers in different disciplines. Recent trends in broader collaboration across institutions, across disciplines, and between the public and private sectors suggest that the stage is set for the major advances in agricultural systems science that are needed for the next generation of models, databases, knowledge products and decision support systems. The lessons from history should be

  4. U.S.-State Agricultural Data. Agriculture Information Bulletin Number 512.

    ERIC Educational Resources Information Center

    Womack, Letricia M.; Traub, Larry G.

    This report presents agricultural information for each state and the United States as a whole for the years 1981-1985. Included are data on population, land use, agricultural production, farm income, value of assets on farms, and selected characteristics of farms. The primary data sources are the "1982 Census of Agriculture," the…

  5. Brief history of agricultural systems modeling

    DOE PAGES

    Jones, James W.; Antle, John M.; Basso, Bruno; ...

    2017-06-21

    Agricultural systems science generates knowledge that allows researchers to consider complex problems or take informed agricultural decisions. The rich history of this science exemplifies the diversity of systems and scales over which they operate and have been studied. Modeling, an essential tool in agricultural systems science, has been accomplished by scientists from a wide range of disciplines, who have contributed concepts and tools over more than six decades. As agricultural scientists now consider the "next generation" models, data, and knowledge products needed to meet the increasingly complex systems problems faced by society, it is important to take stock of thismore » history and its lessons to ensure that we avoid re-invention and strive to consider all dimensions of associated challenges. To this end, we summarize here the history of agricultural systems modeling and identify lessons learned that can help guide the design and development of next generation of agricultural system tools and methods. A number of past events combined with overall technological progress in other fields have strongly contributed to the evolution of agricultural system modeling, including development of process-based bio-physical models of crops and livestock, statistical models based on historical observations, and economic optimization and simulation models at household and regional to global scales. Characteristics of agricultural systems models have varied widely depending on the systems involved, their scales, and the wide range of purposes that motivated their development and use by researchers in different disciplines. Recent trends in broader collaboration across institutions, across disciplines, and between the public and private sectors suggest that the stage is set for the major advances in agricultural systems science that are needed for the next generation of models, databases, knowledge products and decision support systems. Furthermore, the lessons from

  6. Brief history of agricultural systems modeling

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Jones, James W.; Antle, John M.; Basso, Bruno

    Agricultural systems science generates knowledge that allows researchers to consider complex problems or take informed agricultural decisions. The rich history of this science exemplifies the diversity of systems and scales over which they operate and have been studied. Modeling, an essential tool in agricultural systems science, has been accomplished by scientists from a wide range of disciplines, who have contributed concepts and tools over more than six decades. As agricultural scientists now consider the "next generation" models, data, and knowledge products needed to meet the increasingly complex systems problems faced by society, it is important to take stock of thismore » history and its lessons to ensure that we avoid re-invention and strive to consider all dimensions of associated challenges. To this end, we summarize here the history of agricultural systems modeling and identify lessons learned that can help guide the design and development of next generation of agricultural system tools and methods. A number of past events combined with overall technological progress in other fields have strongly contributed to the evolution of agricultural system modeling, including development of process-based bio-physical models of crops and livestock, statistical models based on historical observations, and economic optimization and simulation models at household and regional to global scales. Characteristics of agricultural systems models have varied widely depending on the systems involved, their scales, and the wide range of purposes that motivated their development and use by researchers in different disciplines. Recent trends in broader collaboration across institutions, across disciplines, and between the public and private sectors suggest that the stage is set for the major advances in agricultural systems science that are needed for the next generation of models, databases, knowledge products and decision support systems. Furthermore, the lessons from

  7. U.S.-State Agricultural Data. Agriculture Information Bulletin Number 501.

    ERIC Educational Resources Information Center

    Womack, Letricia M.; And Others

    This report presents agricultural information for each of the 50 states and the United States. Data are provided on population, land use, agricultural production, farm income, value of assets on farms, and selected characteristics of farms, such as size, tenure, and farm organization. Primary data sources are the 1982 Census of Agriculture and the…

  8. Identifying populations potentially exposed to agricultural pesticides using remote sensing and a Geographic Information System

    USGS Publications Warehouse

    Ward, M.H.; Nuckols, J.R.; Weigel, S. J.; Cantor, K.P.; Miller, Roger S.

    2000-01-01

    Pesticides used in agriculture may cause adverse health effects among the population living near agricultural areas. However, identifying the populations most likely to be exposed is difficult. We conducted a feasibility study to determine whether satellite imagery could be used to reconstruct historical crop patterns. We used historical Farm Service Agency records as a source of ground reference data to classify a late summer 1984 satellite image into crop species in a three-county area in south central Nebraska. Residences from a population-based epidemiologic study of non-Hodgkin lymphoma were located on the crop maps using a geographic information system (GIS). Corn, soybeans, sorghum, and alfalfa were the major crops grown in the study area. Eighty-five percent of residences could be located, and of these 22% had one of the four major crops within 500 m of the residence, an intermediate distance for the range of drift effects from pesticides applied in agriculture. We determined the proximity of residences to specific crop species and calculated crop-specific probabilities of pesticide use based on available data. This feasibility study demonstrated that remote sensing data and historical records on crop location can be used to create historical crop maps. The crop pesticides that were likely to have been applied can be estimated when information about crop-specific pesticide use is available. Using a GIS, zones of potential exposure to agricultural pesticides and proximity measures can be determined for residences in a study.

  9. Towards a new generation of agricultural system data, models and knowledge products: Information and communication technology.

    PubMed

    Janssen, Sander J C; Porter, Cheryl H; Moore, Andrew D; Athanasiadis, Ioannis N; Foster, Ian; Jones, James W; Antle, John M

    2017-07-01

    Agricultural modeling has long suffered from fragmentation in model implementation. Many models are developed, there is much redundancy, models are often poorly coupled, model component re-use is rare, and it is frequently difficult to apply models to generate real solutions for the agricultural sector. To improve this situation, we argue that an open, self-sustained, and committed community is required to co-develop agricultural models and associated data and tools as a common resource. Such a community can benefit from recent developments in information and communications technology (ICT). We examine how such developments can be leveraged to design and implement the next generation of data, models, and decision support tools for agricultural production systems. Our objective is to assess relevant technologies for their maturity, expected development, and potential to benefit the agricultural modeling community. The technologies considered encompass methods for collaborative development and for involving stakeholders and users in development in a transdisciplinary manner. Our qualitative evaluation suggests that as an overall research challenge, the interoperability of data sources, modular granular open models, reference data sets for applications and specific user requirements analysis methodologies need to be addressed to allow agricultural modeling to enter in the big data era. This will enable much higher analytical capacities and the integrated use of new data sources. Overall agricultural systems modeling needs to rapidly adopt and absorb state-of-the-art data and ICT technologies with a focus on the needs of beneficiaries and on facilitating those who develop applications of their models. This adoption requires the widespread uptake of a set of best practices as standard operating procedures.

  10. Insect barcode information system.

    PubMed

    Pratheepa, Maria; Jalali, Sushil Kumar; Arokiaraj, Robinson Silvester; Venkatesan, Thiruvengadam; Nagesh, Mandadi; Panda, Madhusmita; Pattar, Sharath

    2014-01-01

    Insect Barcode Information System called as Insect Barcode Informática (IBIn) is an online database resource developed by the National Bureau of Agriculturally Important Insects, Bangalore. This database provides acquisition, storage, analysis and publication of DNA barcode records of agriculturally important insects, for researchers specifically in India and other countries. It bridges a gap in bioinformatics by integrating molecular, morphological and distribution details of agriculturally important insects. IBIn was developed using PHP/My SQL by using relational database management concept. This database is based on the client- server architecture, where many clients can access data simultaneously. IBIn is freely available on-line and is user-friendly. IBIn allows the registered users to input new information, search and view information related to DNA barcode of agriculturally important insects.This paper provides a current status of insect barcode in India and brief introduction about the database IBIn. http://www.nabg-nbaii.res.in/barcode.

  11. A Modernized System for Agricultural Monitoring for Food Security in Tanzania

    NASA Astrophysics Data System (ADS)

    Dempewolf, J.; Nakalembe, C. L.; Becker-Reshef, I.; Justice, C. J.; Tumbo, S.; Mbilinyi, B.; Maurice, S.; Mtalo, M.

    2016-12-01

    Accurate and timely information on agriculture, particularly in many countries dominated by complex smallholder, subsistence agricultural systems is often difficult to obtain or not available. This includes up-to-date information during the growing season on crop type, crop area and crop condition such as developmental stage, damage from pests and diseases, drought or flooding. These data are critical for government decision making on production forecasts, planning for commodity market transactions, food aid delivery, responding to disease outbreaks and for implementing agricultural extension and development efforts. In Tanzania we have been working closely with the National Food Security Division (NFSD) at the Ministry of Agriculture, Livestock and Fisheries (MALF) on designing and implementing an advanced agricultural monitoring system, utilizing satellite remote sensing, smart phone and internet technologies. Together with our local implementing partner, the Sokoine University of Agriculture we trained a large number of agricultural extension agents in different regions of Tanzania to deliver field data in near-realtime. Using our collaborative internet portal (Crop Monitor) the team of analysts compiles pertinent information on current crop and weather conditions from throughout the country in a standardized, consistent manner. Using the portal traditionally collected data are combined with electronically collected field data and MODIS satellite image time series from GLAM East-Africa (Global Agricultural Monitoring System, customized for stakeholders in East Africa). The main outcome of this work has been the compilation of the National Food Security Bulletin for Tanzania with plans for a public release and the intention for it to become the main avenue to dispense current updates and analysis on agriculture in the country. The same information is also a potential contribution to the international Early Warning Crop Monitor, which currently covers Tanzania

  12. Agricultural land cover mapping in the context of a geographically referenced digital information system. [Carroll, Macon, and Gentry Counties, Missouri

    NASA Technical Reports Server (NTRS)

    Stoner, E. R.

    1982-01-01

    The introduction of soil map information to the land cover mapping process can improve discrimination of land cover types and reduce confusion among crop types that may be caused by soil-specific management practices and background reflectance characteristics. Multiple dates of LANDSAT MSS digital were analyzed for three study areas in northern Missouri to produce cover types for major agricultural land cover classes. Digital data bases were then developed by adding ancillary data such as digitized soil and transportation network information to the LANDSAT-derived cover type map. Procedures were developed to manipulate the data base parameters to extract information applicable to user requirements. An agricultural information system combining such data can be used to determine the productive capacity of land to grow crops, fertilizer needs, chemical weed control rates, irrigation suitability, and trafficability of soil for planting.

  13. Where Do Agricultural Producers Get Safety and Health Information?

    PubMed

    Chiu, Sophia; Cheyney, Marsha; Ramirez, Marizen; Gerr, Fred

    2015-01-01

    There is little empirical guidance regarding communication sources and channels used and trusted by agricultural producers. The goal of this study was to characterize frequency of use and levels of trust in agricultural safety and health information sources and channels accessed by agricultural producers. A sample of 195 agricultural producers was surveyed at county fairs in Iowa. Information was collected about the frequency of use and level of trust in 14 information sources and channels. Associations between age, gender, and education level and use and trust of each information source or channel were estimated using logistic regression. The sample consisted of 72% men with a mean age of 50.1 (SD = 15.6) years. Newspaper and magazine articles were the most commonly used agricultural safety and health information source or channel; 77% (n = 140) of respondents reporting using them at least monthly. Among those reporting monthly or more frequent use, 75% reported trusting mostly or completely, compared with 58% using and 49% trusting the Internet. High levels of use and trust of newspaper and magazine articles did not vary significantly by age, gender, or education level. Age in the highest tertile (57-83 years) was marginally associated with lower odds of using, as well as using and trusting, all the information sources and channels studied except for medical clinics (use only: odds ratio [OR], 3.51, 95% confidence interval [CI], 0.79-15.64; use and trust: OR, 5.90, 95% CI, 0.91-38.42). These findings suggest that traditional media may be more effective than digital media for delivering agricultural safety and health information to agricultural producers. Medical clinics may be an untapped venue for communicating with older agricultural producers.

  14. Next generation agricultural system data, models and knowledge products: Introduction.

    PubMed

    Antle, John M; Jones, James W; Rosenzweig, Cynthia E

    2017-07-01

    Agricultural system models have become important tools to provide predictive and assessment capability to a growing array of decision-makers in the private and public sectors. Despite ongoing research and model improvements, many of the agricultural models today are direct descendants of research investments initially made 30-40 years ago, and many of the major advances in data, information and communication technology (ICT) of the past decade have not been fully exploited. The purpose of this Special Issue of Agricultural Systems is to lay the foundation for the next generation of agricultural systems data, models and knowledge products. The Special Issue is based on a "NextGen" study led by the Agricultural Model Intercomparison and Improvement Project (AgMIP) with support from the Bill and Melinda Gates Foundation.

  15. Next Generation Agricultural System Data, Models and Knowledge Products: Introduction

    NASA Technical Reports Server (NTRS)

    Antle, John M.; Jones, James W.; Rosenzweig, Cynthia E.

    2016-01-01

    Agricultural system models have become important tools to provide predictive and assessment capability to a growing array of decision-makers in the private and public sectors. Despite ongoing research and model improvements, many of the agricultural models today are direct descendants of research investments initially made 30-40 years ago, and many of the major advances in data, information and communication technology (ICT) of the past decade have not been fully exploited. The purpose of this Special Issue of Agricultural Systems is to lay the foundation for the next generation of agricultural systems data, models and knowledge products. The Special Issue is based on a 'NextGen' study led by the Agricultural Model Intercomparison and Improvement Project (AgMIP) with support from the Bill and Melinda Gates Foundation.

  16. Implementation of Sentinel-2 Data in the M4Land System for the Generation of Continuous Information Products in Agriculture

    NASA Astrophysics Data System (ADS)

    Klug, P.; Schlenz, F.; Hank, T.; Migdall, S.; Weiß, I.; Danner, M.; Bach, H.; Mauser, W.

    2016-08-01

    The analysis system developed in the frame of the M4Land project (Model based, Multi-temporal, Multi scale and Multi sensorial retrieval of continuous land management information) has proven its capabilities of classifying crop type and creating products on the intensity of agricultural production using optical remote sensing data from Landsat and RapidEye. In this study, Sentinel-2 data is used for the first time together with Landsat 7 ETM+ and 8 OLI data within the M4Land analysis system to derive continuously crop type and the agricultural intensity of fields in an area north of Munich, Germany and the year 2015.

  17. Preferred Methods for Delivery of Technological Information by the North Carolina Agricultural Extension Service: Opinions of Agricultural Producers Who Use Extension Information.

    ERIC Educational Resources Information Center

    Richardson, John G.; Mustian, R. David

    The findings of a questionnaire survey of 702 North Carolina agricultural producers indicated that communication methods historically used by the North Carolina Agricultural Extension Service for information dissemination are accepted by state farmers and continue to be popular. Information delivery methods most frequently preferred are…

  18. A Portable Farmland Information Collection System with Multiple Sensors.

    PubMed

    Zhang, Jianfeng; Hu, Jinyang; Huang, Lvwen; Zhang, Zhiyong; Ma, Yimian

    2016-10-22

    Precision agriculture is the trend of modern agriculture, and it is also one of the important ways to realize the sustainable development of agriculture. In order to meet the production requirements of precision agriculture-efficient use of agricultural resources, and improving the crop yields and quality-some necessary field information in crop growth environment needs to be collected and monitored. In this paper, a farmland information collection system is developed, which includes a portable farmland information collection device based on STM32 (a 32-bit comprehensive range of microcontrollers based on ARM Crotex-M3), a remote server and a mobile phone APP. The device realizes the function of portable and mobile collecting of multiple parameters farmland information, such as chlorophyll content of crop leaves, air temperature, air humidity, and light intensity. UM220-III (Unicore Communication Inc., Beijing, China) is used to realize the positioning based on BDS/GPS (BeiDou Navigation Satellite System, BDS/Global Positioning System, GPS) dual-mode navigation and positioning system, and the CDMA (Code Division Multiple Access, CDMA) wireless communication module is adopted to realize the real-time remote transmission. The portable multi-function farmland information collection system is real-time, accurate, and easy to use to collect farmland information and multiple information parameters of crops.

  19. An ontology-based collaborative service framework for agricultural information

    USDA-ARS?s Scientific Manuscript database

    In recent years, China has developed modern agriculture energetically. An effective information framework is an important way to provide farms with agricultural information services and improve farmer's production technology and their income. The mountain areas in central China are dominated by agri...

  20. A Spatial Data Model Desing For The Management Of Agricultural Data (Farmer, Agricultural Land And Agricultural Production)

    NASA Astrophysics Data System (ADS)

    Taşkanat, Talha; İbrahim İnan, Halil

    2016-04-01

    Since the beginning of the 2000s, it has been conducted many projects such as Agricultural Sector Integrated Management Information System, Agriculture Information System, Agricultural Production Registry System and Farmer Registry System by the Turkish Ministry of Food, Agriculture and Livestock and the Turkish Statistical Institute in order to establish and manage better agricultural policy and produce better agricultural statistics in Turkey. Yet, it has not been carried out any study for the structuring of a system which can meet the requirements of different institutions and organizations that need similar agricultural data. It has been tried to meet required data only within the frame of the legal regulations from present systems. Whereas the developments in GIS (Geographical Information Systems) and standardization, and Turkey National GIS enterprise in this context necessitate to meet the demands of organizations that use the similar data commonly and to act in terms of a data model logic. In this study, 38 institutions or organization which produce and use agricultural data were detected, that and thanks to survey and interviews undertaken, their needs were tried to be determined. In this study which is financially supported by TUBITAK, it was worked out relationship between farmer, agricultural land and agricultural production data and all of the institutions and organizations in Turkey and in this context, it was worked upon the best detailed and effective possible data model. In the model design, UML which provides object-oriented design was used. In the data model, for the management of spatial data, sub-parcel data model was used. Thanks to this data model, declared and undeclared areas can be detected spatially, and thus declarations can be associated to sub-parcels. Within this framework, it will be able to developed agricultural policies as a result of acquiring more extensive, accurate, spatially manageable and easily updatable farmer and

  1. Integrating NASA Earth Science Enterprise (ESE) Data Into Global Agricultural Decision Support Systems

    NASA Astrophysics Data System (ADS)

    Teng, W.; Kempler, S.; Chiu, L.; Doraiswamy, P.; Liu, Z.; Milich, L.; Tetrault, R.

    2003-12-01

    Monitoring global agricultural crop conditions during the growing season and estimating potential seasonal production are critically important for market development of U.S. agricultural products and for global food security. Two major operational users of satellite remote sensing for global crop monitoring are the USDA Foreign Agricultural Service (FAS) and the U.N. World Food Programme (WFP). The primary goal of FAS is to improve foreign market access for U.S. agricultural products. The WFP uses food to meet emergency needs and to support economic and social development. Both use global agricultural decision support systems that can integrate and synthesize a variety of data sources to provide accurate and timely information on global crop conditions. The Goddard Space Flight Center Earth Sciences Distributed Active Archive Center (GES DAAC) has begun a project to provide operational solutions to FAS and WFP, by fully leveraging results from previous work, as well as from existing capabilities of the users. The GES DAAC has effectively used its recently developed prototype TRMM Online Visualization and Analysis System (TOVAS) to provide ESE data and information to the WFP for its agricultural drought monitoring efforts. This prototype system will be evolved into an Agricultural Information System (AIS), which will operationally provide ESE and other data products (e.g., rainfall, land productivity) and services, to be integrated into and thus enhance the existing GIS-based, decision support systems of FAS and WFP. Agriculture-oriented, ESE data products (e.g., MODIS-based, crop condition assessment product; TRMM derived, drought index product) will be input to a crop growth model in collaboration with the USDA Agricultural Research Service, to generate crop condition and yield prediction maps. The AIS will have the capability for remotely accessing distributed data, by being compliant with community-based interoperability standards, enabling easy access to

  2. A National Scale Sustainable Agriculture Matrix of Indicators to Inform Policy

    NASA Astrophysics Data System (ADS)

    Davidson, E. A.; Zhang, X.

    2017-12-01

    The ratification of Sustainable Development Goals (SDGs) by all member countries of the United Nations demonstrates the determination of the international community in moving towards a sustainable future. To enable and encourage accountability, independent and transparent measurements of national sustainability efforts are essential. Among all sectors, agriculture is fundamental to all three pillars of sustainability, namely environment, society, and economy. However, the definition of a sustainable agriculture and the feasibility of measuring it remain elusive, in part because it encompasses both biophysical and socio-economic components that are still poorly integrated. Therefore, we have been developing a Sustainable Agriculture Matrix (SAM) on a national scale in order to measure country-level performance in agriculture. First proposed by Swaminathan for agricultural research and policy in 1990s, SAM is a collection of indicators measuring sustainable agriculture from environmental, social, and economic dimensions. The environmental dimension evaluates various impacts of agricultural production on the environment, such as water consumption and nutrient pollution. The economic dimension quantifies the costs and benefits for major stakeholders involved in agricultural production, including government, industry, farmers, and consumers. The social dimension considers three major aspects: 1) social welfare (e.g., hunger and poverty rate, nutritional quality, demography of rural community); 2) equity over sectors, space, and gender (e.g., access to resources/services and opportunities, distribution of income, land ownership and tenure rights); 3) systemic risk (e.g., fragility of the global agricultural production and trade system, resilience of a farm or a country to market and natural shocks). Translating the illustrative concepts into measureable indicators will not only provide an independent and transparent measurement of national performance in the

  3. Precision agriculture and information technology

    Treesearch

    Daniel L. Schmoldt

    2001-01-01

    As everyone knows, knowledge (along with its less-sophisticated sibling, information) is power. For a long time, detailed knowledge (in agriculture) has been generally inaccessible or was prohibitively expensive to acquire. Advances in electronics, communications, and software over the past several decades have removed those earlier impediments. Inexpensive sensors and...

  4. Market assessment of photovoltaic power systems for agricultural applications in Nigeria

    NASA Technical Reports Server (NTRS)

    Staples, D.; Steingass, H.; Nolfi, J.

    1981-01-01

    The market potential for stand-alone photovoltaic systems in agriculture was studied. Information is presented on technical and economically feasible applications, and assessments of the business, government and financial climate for photovoltaic sales. It is concluded that the market for stand-alone systems will be large because of the availability of captial and the high premium placed on high reliability, low maintenance power systems. Various specific applications are described, mostly related to agriculture.

  5. Market assessment of photovoltaic power systems for agricultural applications in Nigeria

    NASA Astrophysics Data System (ADS)

    Staples, D.; Steingass, H.; Nolfi, J.

    1981-10-01

    The market potential for stand-alone photovoltaic systems in agriculture was studied. Information is presented on technical and economically feasible applications, and assessments of the business, government and financial climate for photovoltaic sales. It is concluded that the market for stand-alone systems will be large because of the availability of captial and the high premium placed on high reliability, low maintenance power systems. Various specific applications are described, mostly related to agriculture.

  6. A Portable Farmland Information Collection System with Multiple Sensors

    PubMed Central

    Zhang, Jianfeng; Hu, Jinyang; Huang, Lvwen; Zhang, Zhiyong; Ma, Yimian

    2016-01-01

    Precision agriculture is the trend of modern agriculture, and it is also one of the important ways to realize the sustainable development of agriculture. In order to meet the production requirements of precision agriculture—efficient use of agricultural resources, and improving the crop yields and quality—some necessary field information in crop growth environment needs to be collected and monitored. In this paper, a farmland information collection system is developed, which includes a portable farmland information collection device based on STM32 (a 32-bit comprehensive range of microcontrollers based on ARM Crotex-M3), a remote server and a mobile phone APP. The device realizes the function of portable and mobile collecting of multiple parameters farmland information, such as chlorophyll content of crop leaves, air temperature, air humidity, and light intensity. UM220-III (Unicore Communication Inc., Beijing, China) is used to realize the positioning based on BDS/GPS (BeiDou Navigation Satellite System, BDS/Global Positioning System, GPS) dual-mode navigation and positioning system, and the CDMA (Code Division Multiple Access, CDMA) wireless communication module is adopted to realize the real-time remote transmission. The portable multi-function farmland information collection system is real-time, accurate, and easy to use to collect farmland information and multiple information parameters of crops. PMID:27782076

  7. 3-D Imaging Systems for Agricultural Applications—A Review

    PubMed Central

    Vázquez-Arellano, Manuel; Griepentrog, Hans W.; Reiser, David; Paraforos, Dimitris S.

    2016-01-01

    Efficiency increase of resources through automation of agriculture requires more information about the production process, as well as process and machinery status. Sensors are necessary for monitoring the status and condition of production by recognizing the surrounding structures such as objects, field structures, natural or artificial markers, and obstacles. Currently, three dimensional (3-D) sensors are economically affordable and technologically advanced to a great extent, so a breakthrough is already possible if enough research projects are commercialized. The aim of this review paper is to investigate the state-of-the-art of 3-D vision systems in agriculture, and the role and value that only 3-D data can have to provide information about environmental structures based on the recent progress in optical 3-D sensors. The structure of this research consists of an overview of the different optical 3-D vision techniques, based on the basic principles. Afterwards, their application in agriculture are reviewed. The main focus lays on vehicle navigation, and crop and animal husbandry. The depth dimension brought by 3-D sensors provides key information that greatly facilitates the implementation of automation and robotics in agriculture. PMID:27136560

  8. The integrated web service and genome database for agricultural plants with biotechnology information.

    PubMed

    Kim, Changkug; Park, Dongsuk; Seol, Youngjoo; Hahn, Jangho

    2011-01-01

    The National Agricultural Biotechnology Information Center (NABIC) constructed an agricultural biology-based infrastructure and developed a Web based relational database for agricultural plants with biotechnology information. The NABIC has concentrated on functional genomics of major agricultural plants, building an integrated biotechnology database for agro-biotech information that focuses on genomics of major agricultural resources. This genome database provides annotated genome information from 1,039,823 records mapped to rice, Arabidopsis, and Chinese cabbage.

  9. The integrated web service and genome database for agricultural plants with biotechnology information

    PubMed Central

    Kim, ChangKug; Park, DongSuk; Seol, YoungJoo; Hahn, JangHo

    2011-01-01

    The National Agricultural Biotechnology Information Center (NABIC) constructed an agricultural biology-based infrastructure and developed a Web based relational database for agricultural plants with biotechnology information. The NABIC has concentrated on functional genomics of major agricultural plants, building an integrated biotechnology database for agro-biotech information that focuses on genomics of major agricultural resources. This genome database provides annotated genome information from 1,039,823 records mapped to rice, Arabidopsis, and Chinese cabbage. PMID:21887015

  10. Utilization of Live Localized Weather Information for Sustainable Agriculture

    NASA Astrophysics Data System (ADS)

    Anderson, J.; Usher, J.

    2010-09-01

    Authors: Jim Anderson VP, Global Network and Business Development WeatherBug® Professional Jeremy Usher Managing Director, Europe WeatherBug® Professional Localized, real-time weather information is vital for day-to-day agronomic management of all crops. The challenge for agriculture is twofold in that local and timely weather data is not often available for producers and farmers, and it is not integrated into decision-support tools they require. Many of the traditional sources of weather information are not sufficient for agricultural applications because of the long distances between weather stations, meaning the data is not always applicable for on-farm decision making processes. The second constraint with traditional weather information is the timeliness of the data. Most delivery systems are designed on a one-hour time step, whereas many decisions in agriculture are based on minute-by-minute weather conditions. This is especially true for decisions surrounding chemical and fertilizer application and frost events. This presentation will outline how the creation of an agricultural mesonet (weather network) can enable producers and farmers with live, local weather information from weather stations installed in farm/field locations. The live weather information collected from each weather station is integrated into a web-enabled decision support tool, supporting numerous on-farm agronomic activities such as pest management, or dealing with heavy rainfall and frost events. Agronomic models can be used to assess the potential of disease pressure, enhance the farmer's abilities to time pesticide applications, or assess conditions contributing to yield and quality fluctuations. Farmers and industry stakeholders may also view quality-assured historical weather variables at any location. This serves as a record-management tool for viewing previously uncharted agronomic weather events in graph or table form. This set of weather tools is unique and provides a

  11. Shaping Collective Functions in Privatized Agricultural Knowledge and Information Systems: The Positioning and Embedding of a Network Broker in the Dutch Dairy Sector

    ERIC Educational Resources Information Center

    Klerkx, Laurens; Leeuwis, Cees

    2009-01-01

    This paper examines new organizational arrangements that have emerged in the context of a privatized extension system. It investigates the positioning and embedding of a network broker aimed at enhancing interaction in the privatized agricultural knowledge and information system (AKIS), to assess whether tensions reported in other sectors also…

  12. Efficient mapping of agricultural soils using a novel electromagnetic measurement system

    NASA Astrophysics Data System (ADS)

    Trinks, Immo; Pregesbauer, Michael

    2016-04-01

    "Despite all our accomplishments, we owe our existence to a six-inch layer of topsoil and the fact that it rains." - Paul Harvey. Despite the fact, that a farmers most precious good is the soil that he or she cultivates, in most cases actually very little is known about the soils that are being farmed. Agricultural soils are under constant threat through erosion, depletion, pollution and other degrading processes, in particular when considering intensive industrial scale farming. The capability of soils to retain water and soil moisture is of vital importance for their agricultural potential. Detailed knowledge of the physical properties of soils, their types and texture, water content and the depth of the agricultural layer would be of great importance for resource-efficient tillage with sub-area dependent variable depth, and the targeted intelligent application of fertilizers or irrigation. Precision farming, which has seen increasing popularity in the USA as well as Australia, is still in its infancy in Europe. Traditional near-surface geophysical prospection systems for agricultural soil mapping have either been based on earth resistance measurements using electrode-disks that require soil contact, with inherent issues, or electromagnetic induction (EMI) measurements conducted with EMI devices mounted in non-metallic sledges towed several metres behind survey vehicles across the fields. Every farmer passes over the fields several times during each growing season, working the soil and treating the crops. Therefore a novel user-friendly measurement system, the "Topsoil Mapper" (TSM) has been developed, which enables the farmer to simultaneously acquire soil conductivity information and derived soil parameters while anyway passing over the fields using different agricultural implements. The measurement principle of the TSM is electromagnetic induction using a multi-coil array to acquire conductivity information along a vertical profile down to approximately 1.1 m

  13. Design of agricultural product quality safety retrospective supervision system of Jiangsu province

    NASA Astrophysics Data System (ADS)

    Wang, Kun

    2017-08-01

    In store and supermarkets to consumers can trace back agricultural products through the electronic province card to query their origin, planting, processing, packaging, testing and other important information and found that the problems. Quality and safety issues can identify the responsibility of the problem. This paper designs a retroactive supervision system for the quality and safety of agricultural products in Jiangsu Province. Based on the analysis of agricultural production and business process, the goal of Jiangsu agricultural product quality safety traceability system construction is established, and the specific functional requirements and non-functioning requirements of the retroactive system are analyzed, and the target is specified for the specific construction of the retroactive system. The design of the quality and safety traceability system in Jiangsu province contains the design of the overall design, the trace code design and the system function module.

  14. Texas Agricultural Science Teachers' Attitudes toward Information Technology

    ERIC Educational Resources Information Center

    Anderson, Ryan; Williams, Robert

    2012-01-01

    The researchers sought to find the Agricultural Science teachers' attitude toward five innovations (Computer-Aided Design, Record Books, E-Mail Career Development Event Registration, and World Wide Web) of information technology. The population for this study consisted of all 333 secondary Agricultural science teachers from Texas FFA Areas V and…

  15. Implementation of Wireless Sensor Networks Based Pig Farm Integrated Management System in Ubiquitous Agricultural Environments

    NASA Astrophysics Data System (ADS)

    Hwang, Jeonghwan; Lee, Jiwoong; Lee, Hochul; Yoe, Hyun

    The wireless sensor networks (WSN) technology based on low power consumption is one of the important technologies in the realization of ubiquitous society. When the technology would be applied to the agricultural field, it can give big change in the existing agricultural environment such as livestock growth environment, cultivation and harvest of agricultural crops. This research paper proposes the 'Pig Farm Integrated Management System' based on WSN technology, which will establish the ubiquitous agricultural environment and improve the productivity of pig-raising farmers. The proposed system has WSN environmental sensors and CCTV at inside/outside of pig farm. These devices collect the growth-environment related information of pigs, such as luminosity, temperature, humidity and CO2 status. The system collects and monitors the environmental information and video information of pig farm. In addition to the remote-control and monitoring of the pig farm facilities, this system realizes the most optimum pig-raising environment based on the growth environmental data accumulated for a long time.

  16. Survey of the World Agricultural Documentation Services, Draft; Prepared on Behalf of the FAO Panel of Experts on "AGRIS" (International Information System for the Agricultural Sciences and Technology).

    ERIC Educational Resources Information Center

    Buntrock, H.

    The purpose of the survey was: (1) to evaluate existing agricultural information services and (2) to propose possible frameworks for an improved world-wide agricultural information service. The principal statistical results of the survey are summarized in the following figures which are based on data collected in nearly all instances for the year…

  17. Development of a Global Agricultural Hotspot Detection and Early Warning System

    NASA Astrophysics Data System (ADS)

    Lemoine, G.; Rembold, F.; Urbano, F.; Csak, G.

    2015-12-01

    The number of web based platforms for crop monitoring has grown rapidly over the last years and anomaly maps and time profiles of remote sensing derived indicators can be accessed online thanks to a number of web based portals. However, while these systems make available a large amount of crop monitoring data to the agriculture and food security analysts, there is no global platform which provides agricultural production hotspot warning in a highly automatic and timely manner. Therefore a web based system providing timely warning evidence as maps and short narratives is currently under development by the Joint Research Centre. The system (called "HotSpot Detection System of Agriculture Production Anomalies", HSDS) will focus on water limited agricultural systems worldwide. The automatic analysis of relevant meteorological and vegetation indicators at selected administrative units (Gaul 1 level) will trigger warning messages for the areas where anomalous conditions are observed. The level of warning (ranging from "watch" to "alert") will depend on the nature and number of indicators for which an anomaly is detected. Information regarding the extent of the agricultural areas concerned by the anomaly and the progress of the agricultural season will complement the warning label. In addition, we are testing supplementary detailed information from other sources for the areas triggering a warning. These regard the automatic web-based and food security-tailored analysis of media (using the JRC Media Monitor semantic search engine) and the automatic detection of active crop area using Sentinel 1, upcoming Sentinel-2 and Landsat 8 imagery processed in Google Earth Engine. The basic processing will be fully automated and updated every 10 days exploiting low resolution rainfall estimates and satellite vegetation indices. Maps, trend graphs and statistics accompanied by short narratives edited by a team of crop monitoring experts, will be made available on the website on a

  18. Sustainable intensification in agricultural systems.

    PubMed

    Pretty, Jules; Bharucha, Zareen Pervez

    2014-12-01

    Agricultural systems are amended ecosystems with a variety of properties. Modern agroecosystems have tended towards high through-flow systems, with energy supplied by fossil fuels directed out of the system (either deliberately for harvests or accidentally through side effects). In the coming decades, resource constraints over water, soil, biodiversity and land will affect agricultural systems. Sustainable agroecosystems are those tending to have a positive impact on natural, social and human capital, while unsustainable systems feed back to deplete these assets, leaving fewer for the future. Sustainable intensification (SI) is defined as a process or system where agricultural yields are increased without adverse environmental impact and without the conversion of additional non-agricultural land. The concept does not articulate or privilege any particular vision or method of agricultural production. Rather, it emphasizes ends rather than means, and does not pre-determine technologies, species mix or particular design components. The combination of the terms 'sustainable' and 'intensification' is an attempt to indicate that desirable outcomes around both more food and improved environmental goods and services could be achieved by a variety of means. Nonetheless, it remains controversial to some. This review analyses recent evidence of the impacts of SI in both developing and industrialized countries, and demonstrates that both yield and natural capital dividends can occur. The review begins with analysis of the emergence of combined agricultural-environmental systems, the environmental and social outcomes of recent agricultural revolutions, and analyses the challenges for food production this century as populations grow and consumption patterns change. Emergent criticisms are highlighted, and the positive impacts of SI on food outputs and renewable capital assets detailed. It concludes with observations on policies and incentives necessary for the wider adoption of

  19. From LACIE to GEOGLAM: Integrating Earth Observations into Operational Agricultural Monitoring Systems

    NASA Astrophysics Data System (ADS)

    Becker-Reshef, I.; Justice, C. O.

    2012-12-01

    Earth observation data, owing to their synoptic, timely and repetitive coverage, have long been recognized as an indispensible tool for agricultural monitoring at local to global scales. Research and development over the past several decades in the field of agricultural remote sensing has led to considerable capacity for crop monitoring within the current operational monitoring systems. These systems are relied upon nationally and internationally to provide crop outlooks and production forecasts as the growing season progresses. This talk will discuss the legacy and current state of operational agricultural monitoring using earth observations. In the US, the National Aeronautics and Space Administration (NASA) and the US Department of Agriculture (USDA) have been collaborating to monitor global agriculture from space since the 1970s. In 1974, the USDA, NASA and National Oceanic and Atmospheric Administration (NOAA) initiated the Large Area Crop Inventory Experiment (LACIE) which demonstrated that earth observations could provide vital information on crop production, with unprecedented accuracy and timeliness, prior to harvest. This experiment spurred many agencies and researchers around the world to further develop and evaluate remote sensing technologies for timely, large area, crop monitoring. The USDA and NASA continue to closely collaborate. More recently they jointly initiated the Global Agricultural Monitoring Project (GLAM) to enhance the agricultural monitoring and the crop-production estimation capabilities of the USDA Foreign Agricultural Service by using the new generation of NASA satellite observations including from MODIS and the Visible Infrared Imaging Radiometer Suite (VIIRS) instruments. Internationally, in response to the growing calls for improved agricultural information, the Group on Earth Observations (partnership of governments and international organizations) developed the Global Agricultural Monitoring (GEOGLAM) initiative which was adopted

  20. Why Do Information Gaps Persist in African Smallholder Agriculture? Perspectives from Farmers Lacking Exposure to Conservation Agriculture

    ERIC Educational Resources Information Center

    Brown, Brendan; Llewellyn, Rick; Nuberg, Ian

    2018-01-01

    Purpose: To explore why substantial agricultural information gaps persist in African smallholder farming communities and how to reduce them. Design/methodology/approach: Using conservation agriculture (CA) as a case study, we deeply explore with 29 smallholder farmers why they are yet to obtain sufficient information to enable practice evaluation.…

  1. Using agricultural practices information for multiscale environmental assessment of phosphorus risk

    NASA Astrophysics Data System (ADS)

    Matos Moreira, Mariana; Lemercier, Blandine; Michot, Didier; Dupas, Rémi; Gascuel-Odoux, Chantal

    2015-04-01

    Phosphorus (P) is an essential nutrient for plant growth. In intensively farmed areas, excessive applications of animal manure and mineral P fertilizers to soils have raised both economic and ecological concerns. P accumulation in agricultural soils leads to increased P losses to surface waterbodies contributing to eutrophication. Increasing soil P content over time in agricultural soils is often correlated with agricultural practices; in Brittany (NW France), an intensive livestock farming region, soil P content is well correlated with animal density (Lemercier et al.,2008). Thus, a better understanding of the factors controlling P distribution is required to enable environmental assessment of P risk. The aim of this study was to understand spatial distribution of extractable (Olsen method) and total P contents and its controlling factors at the catchment scale in order to predict P contents at regional scale (Brittany). Data on soil morphology, soil tests (including P status, particles size, organic carbon…) for 198 punctual positions, crops succession since 20 years, agricultural systems, field and animal manure management were obtained on a well-characterized catchment (ORE Agrhys, 10 km²). A multivariate analysis with mixed quantitative variables and factors and a digital soil mapping approach were performed to identify variables playing a significant role in soil total and extractable P contents and distribution. Spatial analysis was performed by means of the Cubist model, a decision tree-based algorithm. Different scenarios were assessed, considering various panels of predictive variables: soil data, terrain attributes derived from digital elevation model, gamma-ray spectrometry (from airborne geophysical survey) and agricultural practices information. In the research catchment, mean extractable and total P content were 140.0 ± 63.4 mg/kg and 2862.7 ± 773.0 mg/kg, respectively. Organic and mineral P inputs, P balance, soil pH, and Al contents were

  2. A Systems Approach to Agricultural Biosecurity.

    PubMed

    Anand, Manish

    This article highlights the importance of systems approaches in addressing agricultural biosecurity threats. On the basis of documentary analysis and stakeholder interaction, a brief survey of agricultural biosecurity threats and vulnerabilities from global and Indian perspectives is provided, followed by an exploration of technological and institutional capabilities. Finally, a perspective on the agricultural disease diagnostic networks is provided, drawing instances from global developments. Technical barriers to agroterrorism are lower than those to human-targeted bioterrorism, and the sector is unique as even a very small disease outbreak could prompt international export restrictions. Key vulnerabilities in the agriculture sector stem from, among others, the structure of agricultural production; insufficient monitoring, surveillance, and controls systems at the borders and in the food chain; inefficient systems for reporting unusual occurrences and outbreaks of disease; and lack of sufficiently trained human resources capable of recognizing or treating transboundary pathogens and diseases. An assessment of technology and institutions pertaining to crop and animal protection management suggests certain gaps. Investment in developing new technologies for civilian application in agriculture, as well as for legitimate actions pertaining to defense, detection, protection, and prophylaxis, and in upgrading laboratory facilities can increase the agricultural sector's level of preparedness for outbreaks. To address potential threats and vulnerabilities of agroterrorism effectively requires the development of a comprehensive strategy and a combined, interagency approach, ideally on an international level. It is proposed that a systems-oriented approach for developing knowledge and innovation networks and strengthening skills and capacities would enable a more resilient agricultural biosecurity system.

  3. Information Technology for Agricultural America. Prepared for the Subcommittee on Department Operations, Research and Foreign Agriculture, 97th Congress, 2d Session. Committee Print.

    ERIC Educational Resources Information Center

    Library of Congress, Washington, DC. Congressional Research Service.

    This summary of the combined Hearing and Workshop on Applications of Computer-Based Information Systems and Services in Agriculture (May 19-20, 1982) offers an overview of the ways in which information technology--computers, telecommunications, microforms, word processing, video and audio devices--may be utilized by American farmers and ranchers.…

  4. From Camels to Computers: The Realities of Increasing the Flow of Agricultural Information in Pakistan's Northwest Frontier.

    ERIC Educational Resources Information Center

    Attaullah; Johnson, Jane S.

    1991-01-01

    Outlines the various steps involved in the process of modernizing the information storage and retrieval systems within the library of the Northwest Frontier Province Agricultural University (NWFP AU) in Peshawar, Pakistan. Implementation of services for faculty, students, and provincial agricultural scientists is discussed, and staff training is…

  5. Agroclimate.Org: Tools and Information for a Climate Resilient Agriculture in the Southeast USA

    NASA Astrophysics Data System (ADS)

    Fraisse, C.

    2014-12-01

    AgroClimate (http://agroclimate.org) is a web-based system developed to help the agricultural industry in the southeastern USA reduce risks associated with climate variability and change. It includes climate related information and dynamic application tools that interact with a climate and crop database system. Information available includes climate monitoring and forecasts combined with information about crop management practices that help increase the resiliency of the agricultural industry in the region. Recently we have included smartphone apps in the AgroClimate suite of tools, including irrigation management and crop disease alert systems. Decision support tools available in AgroClimate include: (a) Climate risk: expected (probabilistic) and historical climate information and freeze risk; (b) Crop yield risk: expected yield based on soil type, planting date, and basic management practices for selected commodities and historical county yield databases; (c) Crop diseases: disease risk monitoring and forecasting for strawberry and citrus; (d) Crop development: monitoring and forecasting of growing degree-days and chill accumulation; (e) Drought: monitoring and forecasting of selected drought indices, (f) Footprints: Carbon and water footprint calculators. The system also provides background information about the main drivers of climate variability and basic information about climate change in the Southeast USA. AgroClimate has been widely used as an educational tool by the Cooperative Extension Services in the region and also by producers. It is now being replicated internationally with version implemented in Mozambique and Paraguay.

  6. WEBGIS based CropWatch online agriculture monitoring system

    NASA Astrophysics Data System (ADS)

    Zhang, X.; Wu, B.; Zeng, H.; Zhang, M.; Yan, N.

    2015-12-01

    CropWatch, which was developed by the Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences (CAS), has achieved breakthrough results in the integration of methods, independence of the assessments and support to emergency response by periodically releasing global agricultural information. Taking advantages of the multi-source remote sensing data and the openness of the data sharing policies, CropWatch group reported their monitoring results by publishing four bulletins one year. In order to better analysis and generate the bulletin and provide an alternative way to access agricultural monitoring indicators and results in CropWatch, The CropWatch online system based on the WEBGIS techniques has been developed. Figure 1 shows the CropWatch online system structure and the system UI in Clustering mode. Data visualization is sorted into three different modes: Vector mode, Raster mode and Clustering mode. Vector mode provides the statistic value for all the indicators over each monitoring units which allows users to compare current situation with historical values (average, maximum, etc.). Users can compare the profiles of each indicator over the current growing season with the historical data in a chart by selecting the region of interest (ROI). Raster mode provides pixel based anomaly of CropWatch indicators globally. In this mode, users are able to zoom in to the regions where the notable anomaly was identified from statistic values in vector mode. Data from remote sensing image series at high temporal and low spatial resolution provide key information in agriculture monitoring. Clustering mode provides integrated information on different classes in maps, the corresponding profiles for each class and the percentage of area of each class to the total area of all classes. The time series data is categorized into limited types by the ISODATA algorithm. For each clustering type, pixels on the map, profiles, and percentage legend are all linked

  7. Energy for agriculture: a computerized information retrieval system

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Stout, B A; Myers, C A

    1979-12-01

    This bibliography contains 2613 citations to the literature for 1973 through May 1979. Some of the subjects covered include: accounting, agriculture, animal production, conservation, drying, fertilizer, food processing, greenhouses, home, international, irrigation, organic, solar, storage, tillage, and wind. Author and keyword indexes are included. (MHR)

  8. Sustainable intensification in agricultural systems

    PubMed Central

    Pretty, Jules; Bharucha, Zareen Pervez

    2014-01-01

    Background Agricultural systems are amended ecosystems with a variety of properties. Modern agroecosystems have tended towards high through-flow systems, with energy supplied by fossil fuels directed out of the system (either deliberately for harvests or accidentally through side effects). In the coming decades, resource constraints over water, soil, biodiversity and land will affect agricultural systems. Sustainable agroecosystems are those tending to have a positive impact on natural, social and human capital, while unsustainable systems feed back to deplete these assets, leaving fewer for the future. Sustainable intensification (SI) is defined as a process or system where agricultural yields are increased without adverse environmental impact and without the conversion of additional non-agricultural land. The concept does not articulate or privilege any particular vision or method of agricultural production. Rather, it emphasizes ends rather than means, and does not pre-determine technologies, species mix or particular design components. The combination of the terms ‘sustainable’ and ‘intensification’ is an attempt to indicate that desirable outcomes around both more food and improved environmental goods and services could be achieved by a variety of means. Nonetheless, it remains controversial to some. Scope and Conclusions This review analyses recent evidence of the impacts of SI in both developing and industrialized countries, and demonstrates that both yield and natural capital dividends can occur. The review begins with analysis of the emergence of combined agricultural–environmental systems, the environmental and social outcomes of recent agricultural revolutions, and analyses the challenges for food production this century as populations grow and consumption patterns change. Emergent criticisms are highlighted, and the positive impacts of SI on food outputs and renewable capital assets detailed. It concludes with observations on policies and

  9. Beyond climate-smart agriculture: toward safe operating spaces for global food systems

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Gulledge, Jay; Neufeldt, Heinrich; Jahn, Margaret M

    Agriculture is considered to be climate-smart when it contributes to increasing food security, adaptation and mitigation in a sustainable way. This new concept now dominates current discussions in agricultural development because of its capacity to unite the agendas of the agriculture, development and climate change communities under one brand. In this opinion piece authored by scientists from a variety of international agricultural and climate research communities, we argue that the concept needs to be evaluated critically because the relationship between the three dimensions is poorly understood, such that practically any improved agricultural practice can be considered climate-smart. This lack ofmore » clarity may have contributed to the broad appeal of the concept. From the understanding that we must hold ourselves accountable to demonstrably better meet human needs in the short and long term within foreseeable local and planetary limits, we develop a conceptualization of climate-smart agriculture as agriculture that can be shown to bring us closer to safe operating spaces for agricultural and food systems across spatial and temporal scales. Improvements in the management of agricultural systems that bring us significantly closer to safe operating spaces will require transformations in governance and use of our natural resources, underpinned by enabling political, social and economic conditions beyond incremental changes. Establishing scientifically credible indicators and metrics of long-term safe operating spaces in the context of a changing climate and growing social-ecological challenges is critical to creating the societal demand and political will required to motivate deep transformations. Answering questions on how the needed transformational change can be achieved will require actively setting and testing hypotheses to refine and characterize our concepts of safer spaces for social-ecological systems across scales. This effort will demand prioritizing

  10. Toward a new generation of agricultural system data, models, and knowledge products: State of agricultural systems science.

    PubMed

    Jones, James W; Antle, John M; Basso, Bruno; Boote, Kenneth J; Conant, Richard T; Foster, Ian; Godfray, H Charles J; Herrero, Mario; Howitt, Richard E; Janssen, Sander; Keating, Brian A; Munoz-Carpena, Rafael; Porter, Cheryl H; Rosenzweig, Cynthia; Wheeler, Tim R

    2017-07-01

    We review the current state of agricultural systems science, focusing in particular on the capabilities and limitations of agricultural systems models. We discuss the state of models relative to five different Use Cases spanning field, farm, landscape, regional, and global spatial scales and engaging questions in past, current, and future time periods. Contributions from multiple disciplines have made major advances relevant to a wide range of agricultural system model applications at various spatial and temporal scales. Although current agricultural systems models have features that are needed for the Use Cases, we found that all of them have limitations and need to be improved. We identified common limitations across all Use Cases, namely 1) a scarcity of data for developing, evaluating, and applying agricultural system models and 2) inadequate knowledge systems that effectively communicate model results to society. We argue that these limitations are greater obstacles to progress than gaps in conceptual theory or available methods for using system models. New initiatives on open data show promise for addressing the data problem, but there also needs to be a cultural change among agricultural researchers to ensure that data for addressing the range of Use Cases are available for future model improvements and applications. We conclude that multiple platforms and multiple models are needed for model applications for different purposes. The Use Cases provide a useful framework for considering capabilities and limitations of existing models and data.

  11. Toward a New Generation of Agricultural System Data, Models, and Knowledge Products: State of Agricultural Systems Science

    NASA Technical Reports Server (NTRS)

    Jones, James W.; Antle, John M.; Basso, Bruno; Boote, Kenneth J.; Conant, Richard T.; Foster, Ian; Godfray, H. Charles J.; Herrero, Mario; Howitt, Richard E.; Janssen, Sander; hide

    2016-01-01

    We review the current state of agricultural systems science, focusing in particular on the capabilities and limitations of agricultural systems models. We discuss the state of models relative to five different Use Cases spanning field, farm, landscape, regional, and global spatial scales and engaging questions in past, current, and future time periods. Contributions from multiple disciplines have made major advances relevant to a wide range of agricultural system model applications at various spatial and temporal scales. Although current agricultural systems models have features that are needed for the Use Cases, we found that all of them have limitations and need to be improved. We identified common limitations across all Use Cases, namely 1) a scarcity of data for developing, evaluating, and applying agricultural system models and 2) inadequate knowledge systems that effectively communicate model results to society. We argue that these limitations are greater obstacles to progress than gaps in conceptual theory or available methods for using system models. New initiatives on open data show promise for addressing the data problem, but there also needs to be a cultural change among agricultural researchers to ensure that data for addressing the range of Use Cases are available for future model improvements and applications. We conclude that multiple platforms and multiple models are needed for model applications for different purposes. The Use Cases provide a useful framework for considering capabilities and limitations of existing models and data.

  12. Toward a new generation of agricultural system data, models, and knowledge products: State of agricultural systems science

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Jones, James W.; Antle, John M.; Basso, Bruno

    We review the current state of agricultural systems science, focusing in particular on the capabilities and limitations of agricultural systems models. We discuss the state of models relative to five different Use Cases spanning field, farm, landscape, regional, and global spatial scales and engaging questions in past, current, and future time periods. Contributions from multiple disciplines have made major advances relevant to a wide range of agricultural system model applications at various spatial and temporal scales. Although current agricultural systems models have features that are needed for the Use Cases, we found that all of them have limitations and needmore » to be improved. We identified common limitations across all Use Cases, namely 1) a scarcity of data for developing, evaluating, and applying agricultural system models and 2) inadequate knowledge systems that effectively communicate model results to society. We argue that these limitations are greater obstacles to progress than gaps in conceptual theory or available methods for using system models. New initiatives on open data show promise for addressing the data problem, but there also needs to be a cultural change among agricultural researchers to ensure that data for addressing the range of Use Cases are available for future model improvements and applications. We conclude that multiple platforms and multiple models are needed for model applications for different purposes. The Use Cases provide a useful framework for considering capabilities and limitations of existing models and data.« less

  13. Indicators of climate change in agricultural systems

    USDA-ARS?s Scientific Manuscript database

    Climate change affects all segments of the agricultural enterprise and there is mounting evidence that the continuing warming trend with shifting seasonality and intensity in precipitation will increase the vulnerability of agricultural systems. Agriculture is a complex system within the United Stat...

  14. 1986 Agricultural Chartbook. Agriculture Handbook No. 663.

    ERIC Educational Resources Information Center

    Department of Agriculture, Washington, DC.

    This book contains 310 charts, tables, and graphs containing statistical information about agriculture-related commodities and services, primarily in the United States, in 1986. The book is organized in seven sections that cover the following topics: (1) the farm (farm income, farm population, farm workers, food and fiber system, agriculture and…

  15. 77 FR 67329 - Information Collection: Agricultural Foreign Investment Disclosure Act

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-11-09

    ... Information Collection: Agricultural Foreign Investment Disclosure Act AGENCY: Farm Service Agency, USDA... Foreign Investment Disclosure Act (AFIDA) of 1978. DATES: We will consider comments that we receive by... online instructions for submitting comments. Mail: Lesa A. Johnson, Agricultural Foreign Investment...

  16. Geographic Information Systems and Web Page Development

    NASA Technical Reports Server (NTRS)

    Reynolds, Justin

    2004-01-01

    The Facilities Engineering and Architectural Branch is responsible for the design and maintenance of buildings, laboratories, and civil structures. In order to improve efficiency and quality, the FEAB has dedicated itself to establishing a data infrastructure based on Geographic Information Systems, GIS. The value of GIS was explained in an article dating back to 1980 entitled "Need for a Multipurpose Cadastre" which stated, "There is a critical need for a better land-information system in the United States to improve land-conveyance procedures, furnish a basis for equitable taxation, and provide much-needed information for resource management and environmental planning." Scientists and engineers both point to GIS as the solution. What is GIS? According to most text books, Geographic Information Systems is a class of software that stores, manages, and analyzes mapable features on, above, or below the surface of the earth. GIS software is basically database management software to the management of spatial data and information. Simply put, Geographic Information Systems manage, analyze, chart, graph, and map spatial information. GIS can be broken down into two main categories, urban GIS and natural resource GIS. Further still, natural resource GIS can be broken down into six sub-categories, agriculture, forestry, wildlife, catchment management, archaeology, and geology/mining. Agriculture GIS has several applications, such as agricultural capability analysis, land conservation, market analysis, or whole farming planning. Forestry GIs can be used for timber assessment and management, harvest scheduling and planning, environmental impact assessment, and pest management. GIS when used in wildlife applications enables the user to assess and manage habitats, identify and track endangered and rare species, and monitor impact assessment.

  17. Development of Field Information Monitoring System Based on the Internet of Things

    NASA Astrophysics Data System (ADS)

    Cai, Ken; Liang, Xiaoying; Wang, Keqiang

    With the rapid development and wide application of electronics, communication and embedded system technologies, the global agriculture is changing from traditional agriculture that is to improve the production relying on the increase of labor, agricultural inputs to the new stage of modern agriculture with low yields, high efficiency, real-time and accuracy. On the other hand the research and development of the Internet of Things, which is an information network to connect objects, with the full capacity to perceive objects, and having the capabilities of reliable transmission and intelligence processing for information, allows us to obtain real-time information of anything. The application of the Internet of Things in field information online monitoring is an effective solution for present wired sensor monitoring system, which has much more disadvantages, such as high cost, the problems of laying lines and so on. In this paper, a novel field information monitoring system based on the Internet of Things is proposed. It can satisfy the requirements of multi-point measurement, mobility, convenience in the field information monitoring process. The whole structure of system is given and the key designs of system design are described in the hardware and software aspect. The studies have expanded current field information measurement methods and strengthen the application of the Internet of Things.

  18. Diffusion of Technical Agricultural Information in Chile.

    ERIC Educational Resources Information Center

    Brown, Marion Ray

    This study examined current thought concerning the role of mass communication in economic development in developing nations; analyzed existing efforts to diffuse agricultural technology in Chile; assessed the effectiveness of various approaches; and tested the effects (primarily on knowledge levels) of an experimental technical information service…

  19. Managing adaptively for multifunctionality in agricultural systems.

    PubMed

    Hodbod, Jennifer; Barreteau, Olivier; Allen, Craig; Magda, Danièle

    2016-12-01

    The critical importance of agricultural systems for food security and as a dominant global landcover requires management that considers the full dimensions of system functions at appropriate scales, i.e. multifunctionality. We propose that adaptive management is the most suitable management approach for such goals, given its ability to reduce uncertainty over time and support multiple objectives within a system, for multiple actors. As such, adaptive management may be the most appropriate method for sustainably intensifying production whilst increasing the quantity and quality of ecosystem services. However, the current assessment of performance of agricultural systems doesn't reward ecosystem service provision. Therefore, we present an overview of the ecosystem functions agricultural systems should and could provide, coupled with a revised definition for assessing the performance of agricultural systems from a multifunctional perspective that, when all satisfied, would create adaptive agricultural systems that can increase production whilst ensuring food security and the quantity and quality of ecosystem services. The outcome of this high level of performance is the capacity to respond to multiple shocks without collapse, equity and triple bottom line sustainability. Through the assessment of case studies, we find that alternatives to industrialized agricultural systems incorporate more functional goals, but that there are mixed findings as to whether these goals translate into positive measurable outcomes. We suggest that an adaptive management perspective would support the implementation of a systematic analysis of the social, ecological and economic trade-offs occurring within such systems, particularly between ecosystem services and functions, in order to provide suitable and comparable assessments. We also identify indicators to monitor performance at multiple scales in agricultural systems which can be used within an adaptive management framework to increase

  20. Managing adaptively for multifunctionality in agricultural systems

    USGS Publications Warehouse

    Hodbod, Jennifer; Barreteau, Olivier; Allen, Craig R.; Magda, Danièle

    2016-01-01

    The critical importance of agricultural systems for food security and as a dominant global landcover requires management that considers the full dimensions of system functions at appropriate scales, i.e. multifunctionality. We propose that adaptive management is the most suitable management approach for such goals, given its ability to reduce uncertainty over time and support multiple objectives within a system, for multiple actors. As such, adaptive management may be the most appropriate method for sustainably intensifying production whilst increasing the quantity and quality of ecosystem services. However, the current assessment of performance of agricultural systems doesn’t reward ecosystem service provision. Therefore, we present an overview of the ecosystem functions agricultural systems should and could provide, coupled with a revised definition for assessing the performance of agricultural systems from a multifunctional perspective that, when all satisfied, would create adaptive agricultural systems that can increase production whilst ensuring food security and the quantity and quality of ecosystem services. The outcome of this high level of performance is the capacity to respond to multiple shocks without collapse, equity and triple bottom line sustainability. Through the assessment of case studies, we find that alternatives to industrialized agricultural systems incorporate more functional goals, but that there are mixed findings as to whether these goals translate into positive measurable outcomes. We suggest that an adaptive management perspective would support the implementation of a systematic analysis of the social, ecological and economic trade-offs occurring within such systems, particularly between ecosystem services and functions, in order to provide suitable and comparable assessments. We also identify indicators to monitor performance at multiple scales in agricultural systems which can be used within an adaptive management framework to

  1. Can Climate Information be relevant to decision making for Agriculture on the 1-10 year timescale? Case studies from southern Africa

    NASA Astrophysics Data System (ADS)

    Fujisawa, Mariko

    2016-04-01

    Climate forecasts have been developed to assist decision making in sectors averse to, and affected by, climate risks, and agriculture is one of those. In agriculture and food security, climate information is now used on a range of timescales, from days (weather), months (seasonal outlooks) to decades (climate change scenarios). Former researchers have shown that when seasonal climate forecast information was provided to farmers prior to decision making, farmers adapted by changing their choice of planting seeds and timing or area planted. However, it is not always clear that the end-users' needs for climate information are met and there might be a large gap between information supplied and needed. It has been pointed out that even when forecasts were available, they were often not utilized by farmers and extension services because of lack of trust in the forecast or the forecasts did not reach the targeted farmers. Many studies have focused on the use of either seasonal forecasts or longer term climate change prediction, but little research has been done on the medium term, that is, 1 to 10 year future climate information. The agriculture and food system sector is one potential user of medium term information, as land use policy and cropping systems selection may fall into this time scale and may affect farmers' decision making process. Assuming that reliable information is provided and it is utilized by farmers for decision making, it might contribute to resilient farming and indeed to longer term food security. To this end, we try to determine the effect of medium term climate information on farmers' strategic decision making process. We explored the end-users' needs for climate information and especially the possible role of medium term information in agricultural system, by conducting interview surveys with farmers and agricultural experts. In this study, the cases of apple production in South Africa, maize production in Malawi and rice production in Tanzania

  2. Implementing the Metric System in Agricultural Occupations. Metric Implementation Guide.

    ERIC Educational Resources Information Center

    Gilmore, Hal M.; And Others

    Addressed to the agricultural education teacher, this guide is intended to provide appropriate information, viewpoints, and attitudes regarding the metric system and to make suggestions regarding presentation of the material in the classroom. An introductory section on teaching suggestions emphasizes the need for a "think metric" approach made up…

  3. BioEarth: Envisioning and developing a new regional earth system model to inform natural and agricultural resource management

    DOE PAGES

    Adam, Jennifer C.; Stephens, Jennie C.; Chung, Serena H.; ...

    2014-04-24

    Uncertainties in global change impacts, the complexities associated with the interconnected cycling of nitrogen, carbon, and water present daunting management challenges. Existing models provide detailed information on specific sub-systems (e.g., land, air, water, and economics). An increasing awareness of the unintended consequences of management decisions resulting from interconnectedness of these sub-systems, however, necessitates coupled regional earth system models (EaSMs). Decision makers’ needs and priorities can be integrated into the model design and development processes to enhance decision-making relevance and “usability” of EaSMs. BioEarth is a research initiative currently under development with a focus on the U.S. Pacific Northwest region thatmore » explores the coupling of multiple stand-alone EaSMs to generate usable information for resource decision-making. Direct engagement between model developers and non-academic stakeholders involved in resource and environmental management decisions throughout the model development process is a critical component of this effort. BioEarth utilizes a bottom-up approach for its land surface model that preserves fine spatial-scale sensitivities and lateral hydrologic connectivity, which makes it unique among many regional EaSMs. Here, we describe the BioEarth initiative and highlights opportunities and challenges associated with coupling multiple stand-alone models to generate usable information for agricultural and natural resource decision-making.« less

  4. Comparative analysis of environmental impacts of agricultural production systems, agricultural input efficiency, and food choice

    NASA Astrophysics Data System (ADS)

    Clark, Michael; Tilman, David

    2017-06-01

    Global agricultural feeds over 7 billion people, but is also a leading cause of environmental degradation. Understanding how alternative agricultural production systems, agricultural input efficiency, and food choice drive environmental degradation is necessary for reducing agriculture’s environmental impacts. A meta-analysis of life cycle assessments that includes 742 agricultural systems and over 90 unique foods produced primarily in high-input systems shows that, per unit of food, organic systems require more land, cause more eutrophication, use less energy, but emit similar greenhouse gas emissions (GHGs) as conventional systems; that grass-fed beef requires more land and emits similar GHG emissions as grain-feed beef; and that low-input aquaculture and non-trawling fisheries have much lower GHG emissions than trawling fisheries. In addition, our analyses show that increasing agricultural input efficiency (the amount of food produced per input of fertilizer or feed) would have environmental benefits for both crop and livestock systems. Further, for all environmental indicators and nutritional units examined, plant-based foods have the lowest environmental impacts; eggs, dairy, pork, poultry, non-trawling fisheries, and non-recirculating aquaculture have intermediate impacts; and ruminant meat has impacts ∼100 times those of plant-based foods. Our analyses show that dietary shifts towards low-impact foods and increases in agricultural input use efficiency would offer larger environmental benefits than would switches from conventional agricultural systems to alternatives such as organic agriculture or grass-fed beef.

  5. Agriculture: Agriculture and Air Quality

    EPA Pesticide Factsheets

    Information on air emissions from agricultural practices, types of agricultural burning, air programs that may apply to agriculture, reporting requirements, and links to state and other federal air-quality information.

  6. Benchmarking a soil moisture data assimilation system for agricultural drought monitoring

    USDA-ARS?s Scientific Manuscript database

    Agricultural drought is defined as a shortage of moisture in the root zone of plants. Recently available satellite-based remote sensing data have accelerated development of drought early warning system by providing spatially continuous soil moisture information repeatedly at short-term interval. Non...

  7. Assessment of runoff water quality for an integrated best-management practice system in an agricultural watershed

    USDA-ARS?s Scientific Manuscript database

    To better understand, implement and integrate best management practices (BMPs) in agricultural watersheds, critical information on their effectiveness is required. A representative agricultural watershed, Beasley Lake, was used to compare runoff water quality draining through an integrated system of...

  8. Information Transfer and the Adoption of Agricultural Innovations.

    ERIC Educational Resources Information Center

    Longo, Rose Mary Juliano

    1990-01-01

    Data collected in the Federal District of Brazil were analyzed in terms of information transfer through mass media and interpersonal communication and how they influence farmers in the Federal District of Brazil in their decisions to adopt agricultural innovations. (42 references) (EAM)

  9. Incorporating agricultural management into an earth system model for the Pacific Northwest region: Interactions between climate, hydrology, agriculture, and economics

    NASA Astrophysics Data System (ADS)

    Chinnayakanahalli, K.; Adam, J. C.; Stockle, C.; Nelson, R.; Brady, M.; Rajagopalan, K.; Barber, M. E.; Dinesh, S.; Malek, K.; Yorgey, G.; Kruger, C.; Marsh, T.; Yoder, J.

    2011-12-01

    For better management and decision making in the face of climate change, earth system models must explicitly account for natural resource and agricultural management activities. Including crop system, water management, and economic models into an earth system modeling framework can help in answering questions related to the impacts of climate change on irrigation water and crop productivity, how agricultural producers can adapt to anticipated climate change, and how agricultural practices can mitigate climate change. Herein we describe the coupling of the Variability Infiltration Capacity (VIC) land surface model, which solves the water and energy balances of the hydrologic cycle at regional scales, with a crop-growth model, CropSyst. This new model, VIC-CropSyst, is the land surface model that will be used in a new regional-scale model development project focused on the Pacific Northwest, termed BioEarth. Here we describe the VIC-CropSyst coupling process and its application over the Columbia River basin (CRB) using agricultural-specific land cover information. The Washington State Department of Agriculture (WSDA) and U. S. Department of Agriculture (USDA) cropland data layers were used to identify agricultural land use patterns, in which both irrigated and dry land crops were simulated. The VIC-CropSyst model was applied over the CRB for the historical period of 1976 - 2006 to establish a baseline for surface water availability, irrigation demand, and crop production. The model was then applied under future (2030s) climate change scenarios derived from statistically-downscaled Global Circulation Models output under two emission scenarios (A1B and B1). Differences between simulated future and historical irrigation demand, irrigation water availability, and crop production were used in an economics model to identify the most economically-viable future cropping pattern. The economics model was run under varying scenarios of regional growth, trade, water pricing, and

  10. Design and Implementation of a GPS Guidance System for Agricultural Tractors Using Augmented Reality Technology

    PubMed Central

    Santana-Fernández, Javier; Gómez-Gil, Jaime; del-Pozo-San-Cirilo, Laura

    2010-01-01

    Current commercial tractor guidance systems present to the driver information to perform agricultural tasks in the best way. This information generally includes a treated zones map referenced to the tractor’s position. Unlike actual guidance systems where the tractor driver must mentally associate treated zone maps and the plot layout, this paper presents a guidance system that using Augmented Reality (AR) technology, allows the tractor driver to see the real plot though eye monitor glasses with the treated zones in a different color. The paper includes a description of the system hardware and software, a real test done with image captures seen by the tractor driver, and a discussion predicting that the historical evolution of guidance systems could involve the use of AR technology in the agricultural guidance and monitoring systems. PMID:22163479

  11. Design and implementation of a GPS guidance system for agricultural tractors using augmented reality technology.

    PubMed

    Santana-Fernández, Javier; Gómez-Gil, Jaime; del-Pozo-San-Cirilo, Laura

    2010-01-01

    Current commercial tractor guidance systems present to the driver information to perform agricultural tasks in the best way. This information generally includes a treated zones map referenced to the tractor's position. Unlike actual guidance systems where the tractor driver must mentally associate treated zone maps and the plot layout, this paper presents a guidance system that using Augmented Reality (AR) technology, allows the tractor driver to see the real plot though eye monitor glasses with the treated zones in a different color. The paper includes a description of the system hardware and software, a real test done with image captures seen by the tractor driver, and a discussion predicting that the historical evolution of guidance systems could involve the use of AR technology in the agricultural guidance and monitoring systems.

  12. NABIC marker database: A molecular markers information network of agricultural crops.

    PubMed

    Kim, Chang-Kug; Seol, Young-Joo; Lee, Dong-Jun; Jeong, In-Seon; Yoon, Ung-Han; Lee, Gang-Seob; Hahn, Jang-Ho; Park, Dong-Suk

    2013-01-01

    In 2013, National Agricultural Biotechnology Information Center (NABIC) reconstructs a molecular marker database for useful genetic resources. The web-based marker database consists of three major functional categories: map viewer, RSN marker and gene annotation. It provides 7250 marker locations, 3301 RSN marker property, 3280 molecular marker annotation information in agricultural plants. The individual molecular marker provides information such as marker name, expressed sequence tag number, gene definition and general marker information. This updated marker-based database provides useful information through a user-friendly web interface that assisted in tracing any new structures of the chromosomes and gene positional functions using specific molecular markers. The database is available for free at http://nabic.rda.go.kr/gere/rice/molecularMarkers/

  13. Development of a global Agricultural Stress Index System (ASIS) based on remote sensing data

    NASA Astrophysics Data System (ADS)

    Van Hoolst, R.

    2016-12-01

    According to the 2012 IPCC SREX report, extreme drought events are projected to become more frequent and intense in several regions of the world. Wide and timely monitoring systems are required to mitigate the impact of agricultural drought. Therefore, FAO's Global Information and Early Warning System (GIEWS) and the Climate, Energy and Tenure Division (NRC) have established the `Agricultural Stress Index System' (ASIS). The ASIS is a remote sensing application that provides early warnings of agricultural drought at a global scale. The ASIS has first been designed and described by Rojas et al. (2011). This study focused on the African continent and was based on the back processing of low resolution data of the NOAA-satellites. In the current setup, developed by VITO (Flemish Institute for Technological Research), the system operates in Near Real Time using data from the METOP-AVHRR sensor. The Agricultural Stress Index (ASI) is the percentage of agricultural area affected by drought in the course of the growing season within a given administrative unit. The start and end of the growing season are derived per pixel from the long term NDVI average of SPOT-VEGETATION. The Global Administrative Unit Layer (GAUL) defines the administrative boundaries at level 0, 1 and 2. A global cropland and grassland map eliminates non-agricultural areas. Temperature and NDVI anomalies are used as drought indicators and calculated at a per pixel base. The ASIS aggregates this information and produces every dekad global maps to highlight hotspots of drought stress. New developments are ongoing to strengthen the ASIS to produce country specific outputs, improve existing drought indicators and estimate production deficits using a probabilistic approach.

  14. Geographic information system for pigweed distribution in the US Southeast

    USDA-ARS?s Scientific Manuscript database

    In the southeastern United States, pigweeds have become troublesome weeds in agricultural systems. To implement management strategies to control them, agriculturalists need information on areas affected by pigweeds. Geographic information systems (GIS) afford users the ability to evaluate agricult...

  15. Multi-Sensor Distributive On-Line Processing, Visualization, and Analysis Infrastructure for an Agricultural Information System at the NASA Goddard Earth Sciences DAAC

    NASA Technical Reports Server (NTRS)

    Teng, William; Berrick, Steve; Leptuokh, Gregory; Liu, Zhong; Rui, Hualan; Pham, Long; Shen, Suhung; Zhu, Tong

    2004-01-01

    The Goddard Space Flight Center Earth Sciences Data and Information Services Center (GES DISC) Distributed Active Center (DAAC) is developing an Agricultural Information System (AIS), evolved from an existing TRMM On-line Visualization and Analysis System precipitation and other satellite data products and services. AIS outputs will be ,integrated into existing operational decision support system for global crop monitoring, such as that of the U.N. World Food Program. The ability to use the raw data stored in the GES DAAC archives is highly dependent on having a detailed understanding of the data's internal structure and physical implementation. To gain this understanding is a time-consuming process and not a productive investment of the user's time. This is an especially difficult challenge when users need to deal with multi-sensor data that usually are of different structures and resolutions. The AIS has taken a major step towards meeting this challenge by incorporating an underlying infrastructure, called the GES-DISC Interactive Online Visualization and Analysis Infrastructure or "Giovanni," that integrates various components to support web interfaces that ,allow users to perform interactive analysis on-line without downloading any data. Several instances of the Giovanni-based interface have been or are being created to serve users of TRMM precipitation, MODIS aerosol, and SeaWiFS ocean color data, as well as agricultural applications users. Giovanni-based interfaces are simple to use but powerful. The user selects geophysical ,parameters, area of interest, and time period; and the system generates an output ,on screen in a matter of seconds.

  16. Agricultural Technology Opportunities.

    ERIC Educational Resources Information Center

    North Carolina State Board of Education, Raleigh. Agricultural Technology Education Section.

    Agricultural education programs available through North Carolina's newly created system of industrial education center, technical institutes, and community colleges are described. The information is for use by administrators, and teachers of adult agricultural courses and counselors of high school dropouts and graduates. It describes the need for…

  17. Nitrate in aquifers beneath agricultural systems

    USGS Publications Warehouse

    Burkart, M.R.; Stoner, J.D.

    2002-01-01

    Research from several regions of the world provides spatially anecdotal evidence to hypothesize which hydrologic and agricultural factors contribute to groundwater vulnerability to nitrate contamination. Analysis of nationally consistent measurements from the U.S. Geological Survey's NAWOA program confirms these hypotheses for a substantial range of agricultural systems. Shallow unconfined aquifers are most susceptible to nitrate contamination associated with agricultural systems. Alluvial and other unconsolidated aquifers are the most vulnerable and shallow carbonate aquifers provide a substantial but smaller contamination risk. Where any of these aquifers are overlain by permeable soils the risk of contamination is larger. Irrigated systems can compound this vulnerability by increasing leaching facilitated by additional recharge and additional nutrient applications. The agricultural system of corn, soybeans, and hogs produced significantly larger concentrations of groundwater nitrate than all other agricultural systems, although mean nitrate concentrations in counties with dairy, poultry, cattle and grains, and horticulture systems were similar. If trends in the relation between increased fertilizer use and groundwater nitrate in the United States are repeated in other regions of the world, Asia may experience increasing problems because of recent increases in fertilizer use. Groundwater monitoring in Western and Eastern Europe as well as Russia over the next decade may provide data to determine if the trend in increased nitrate contamination can be reversed. If the concentrated livestock trend in the United States is global, it may be accompanied by increasing nitrogen contamination in groundwater. Concentrated livestock provide both point sources in the confinement area and intense non-point sources as fields close to facilities are used for manure disposal. Regions where irrigated cropland is expanding, such as in Asia, may experience the greatest impact of

  18. Evaluating agricultural nonpoint-source pollution using integrated geographic information systems and hydrologic/water quality model

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Tim, U.S.; Jolly, R.

    1994-01-01

    Considerable progress has been made in developing physically based, distributed parameter, hydrologic/water quality (HIWQ) models for planning and control of nonpoint-source pollution. The widespread use of these models is often constrained by the excessive and time-consuming input data demands and the lack of computing efficiencies necessary for iterative simulation of alternative management strategies. Recent developments in geographic information systems (GIS) provide techniques for handling large amounts of spatial data for modeling nonpoint-source pollution problems. Because a GIS can be used to combine information from several sources to form an array of model input data and to examine any combinations ofmore » spatial input/output data, it represents a highly effective tool for HiWQ modeling. This paper describes the integration of a distributed-parameter model (AGNPS) with a GIS (ARC/INFO) to examine nonpoint sources of pollution in an agricultural watershed. The ARC/INFO GIS provided the tools to generate and spatially organize the disparate data to support modeling, while the AGNPS model was used to predict several water quality variables including soil erosion and sedimentation within a watershed. The integrated system was used to evaluate the effectiveness of several alternative management strategies in reducing sediment pollution in a 417-ha watershed located in southern Iowa. The implementation of vegetative filter strips and contour buffer (grass) strips resulted in a 41 and 47% reduction in sediment yield at the watershed outlet, respectively. In addition, when the integrated system was used, the combination of the above management strategies resulted in a 71% reduction in sediment yield. In general, the study demonstrated the utility of integrating a simulation model with GIS for nonpoini-source pollution control and planning. Such techniques can help characterize the diffuse sources of pollution at the landscape level. 52 refs., 6 figs., 1 tab.« less

  19. Analyzing Agricultural Technology Systems: A Research Report.

    ERIC Educational Resources Information Center

    Swanson, Burton E.

    The International Program for Agricultural Knowledge Systems (INTERPAKS) research team is developing a descriptive and analytic framework to examine and assess agricultural technology systems. The first part of the framework is an inductive methodology that organizes data collection and orders data for comparison between countries. It requires and…

  20. Agriculture and Water Quality. Issues in Agricultural Policy. Agriculture Information Bulletin Number 548.

    ERIC Educational Resources Information Center

    Crowder, Bradley M.; And Others

    Agriculture generates byproducts that may contribute to the contamination of the United States' water supply. Any effective regulations to ban or restrict agricultural chemical or land use practices in order to improve water quality will affect the farm economy. Some farmers will benefit; some will not. Most agricultural pollutants reach surface…

  1. The Influence of Information Technology Access on Agricultural Research in Nigeria.

    ERIC Educational Resources Information Center

    Jimba, Samuel Wodi; Atinmo, Morayo Ibironke

    2000-01-01

    Examines the relationship between accessibility to information technology and research publications among users of agricultural libraries in Nigeria. Discusses results of a questionnaire that investigated the use of electronic information resources and considers the effects of information technology and globalization on the economies of developing…

  2. Fusion of spatio-temporal UAV and proximal sensing data for an agricultural decision support system

    NASA Astrophysics Data System (ADS)

    Katsigiannis, P.; Galanis, G.; Dimitrakos, A.; Tsakiridis, N.; Kalopesas, C.; Alexandridis, T.; Chouzouri, A.; Patakas, A.; Zalidis, G.

    2016-08-01

    Over the last few years, multispectral and thermal remote sensing imagery from unmanned aerial vehicles (UAVs) has found application in agriculture and has been regarded as a means of field data collection and crop condition monitoring source. The integration of information derived from the analysis of these remotely sensed data into agricultural management applications facilitates and aids the stakeholder's decision making. Whereas agricultural decision support systems (DSS) have long been utilised in farming applications, there are still critical gaps to be addressed; as the current approach often neglects the plant's level information and lacks the robustness to account for the spatial and temporal variability of environmental parameters within agricultural systems. In this paper, we demonstrate the use of a custom built autonomous UAV platform in providing critical information for an agricultural DSS. This hexacopter UAV bears two cameras which can be triggered simultaneously and can capture both the visible, near-infrared (VNIR) and the thermal infrared (TIR) wavelengths. The platform was employed for the rapid extraction of the normalized difference vegetation index (NDVI) and the crop water stress index (CWSI) of three different plantations, namely a kiwi, a pomegranate, and a vine field. The simultaneous recording of these two complementary indices and the creation of maps was advantageous for the accurate assessment of the plantation's status. Fusion of UAV and soil scanner system products pinpointed the necessity for adjustment of the irrigation management applied. It is concluded that timely CWSI and NDVI measures retrieved for different crop growing stages can provide additional information and can serve as a tool to support the existing irrigation DSS that had so far been exclusively based on telemetry data from soil and agrometeorological sensors. Additionally, the use of the multi-sensor UAV was found to be beneficial in collecting timely, spatio

  3. Agricultural Education from a Knowledge Systems Perspective: From Teaching to Facilitating Joint Inquiry and Learning.

    ERIC Educational Resources Information Center

    Engel, Paul G. H.; van den Bor, Wout

    1995-01-01

    Application of a knowledge and information systems perspective shows how agricultural innovation can be enhanced through networking. In the Netherlands, a number of alternative systems of inquiry and learning are infused with this perspective: participatory technology development, participatory rural appraisal, soft systems methodology, and rapid…

  4. Non-Agricultural Databases and Thesauri: Retrieval of Subject Headings and Non-Controlled Terms in Relation to Agriculture

    ERIC Educational Resources Information Center

    Bartol, Tomaz

    2012-01-01

    Purpose: The paper aims to assess the utility of non-agriculture-specific information systems, databases, and respective controlled vocabularies (thesauri) in organising and retrieving agricultural information. The purpose is to identify thesaurus-linked tree structures, controlled subject headings/terms (heading words, descriptors), and principal…

  5. Nitrate in aquifers beneath agricultural systems

    USGS Publications Warehouse

    Burkart, M.R.; Stoner, J.D.; ,

    2007-01-01

    Research from several regions of the world provides spatially anecdotal evidence to hypothesize which hydrologic and agricultural factors contribute to groundwater vulnerability to nitrate contamination. Analysis of nationally consistent measurements from the U.S. Geological Survey's NAWQA program confirms these hypotheses for a substantial range of agricultural systems. Shallow unconfined aquifers are most susceptible to nitrate contamination associated with agricultural systems. Alluvial and other unconsolidated aquifers are the most vulnerable and also shallow carbonate aquifers that provide a substantial but smaller contamination risk. Where any of these aquifers are overlain by permeable soils the risk of contamination is larger. Irrigated systems can compound this vulnerability by increasing leaching facilitated by additional recharge and additional nutrient applications. The system of corn, soybean, and hogs produced significantly larger concentrations of groundwater nitrate than all other agricultural systems because this system imports the largest amount of N-fertilizer per unit production area. Mean nitrate under dairy, poultry, horticulture, and cattle and grains systems were similar. If trends in the relation between increased fertilizer use and groundwater nitrate in the United States are repeated in other regions of the world, Asia may experience increasing problems because of recent increases in fertilizer use. Groundwater monitoring in Western and Eastern Europe as well as Russia over the next decade may provide data to determine if the trend in increased nitrate contamination can be reversed. If the concentrated livestock trend in the United States is global, it may be accompanied by increasing nitrogen contamination in groundwater. Concentrated livestock provide both point sources in the confinement area and intense non-point sources as fields close to facilities are used for manure disposal. Regions where irrigated cropland is expanding, such as

  6. Groundwater economics: An object-oriented foundation for integrated studies of irrigated agricultural systems

    NASA Astrophysics Data System (ADS)

    Steward, David R.; Peterson, Jeffrey M.; Yang, Xiaoying; Bulatewicz, Tom; Herrera-Rodriguez, Mauricio; Mao, Dazhi; Hendricks, Nathan

    2009-05-01

    An integrated foundation is presented to study the impacts of external forcings on irrigated agricultural systems. Individually, models are presented that simulate groundwater hydrogeology and econometric farm level crop choices and irrigated water use. The natural association between groundwater wells and agricultural parcels is employed to couple these models using geographic information science technology and open modeling interface protocols. This approach is used to study the collective action problem of the common pool. Three different policies (existing, regulation, and incentive based) are studied in the semiarid grasslands overlying the Ogallala Aquifer in the central United States. Results show that while regulation using the prior appropriation doctrine and incentives using a water buy-back program may each achieve the same level of water savings across the study region, each policy has a different impact on spatial patterns of groundwater declines and farm level economic activity. This represents the first time that groundwater and econometric models of irrigated agriculture have been integrated at the well-parcel level and provides methods for scientific investigation of this coupled natural-human system. Results are useful for science to inform decision making and public policy debate.

  7. A Qualitative Study of Agricultural Literacy in Urban Youth: What Do Elementary Students Understand about the Agri-Food System?

    ERIC Educational Resources Information Center

    Hess, Alexander J.; Trexler, Cary J.

    2011-01-01

    Agricultural literacy of K-12 students is a national priority for both scientific and agricultural education professional organizations. Development of curricula to address this priority has not been informed by research on what K-12 students understand about the agri-food system. While students' knowledge of food and fiber system facts have been…

  8. Development and Implementation of Production Area of Agricultural Product Data Collection System Based on Embedded System

    NASA Astrophysics Data System (ADS)

    Xi, Lei; Guo, Wei; Che, Yinchao; Zhang, Hao; Wang, Qiang; Ma, Xinming

    To solve problems in detecting the origin of agricultural products, this paper brings about an embedded data-based terminal, applies middleware thinking, and provides reusable long-range two-way data exchange module between business equipment and data acquisition systems. The system is constructed by data collection node and data center nodes. Data collection nodes taking embedded data terminal NetBoxII as the core, consisting of data acquisition interface layer, controlling information layer and data exchange layer, completing the data reading of different front-end acquisition equipments, and packing the data TCP to realize the data exchange between data center nodes according to the physical link (GPRS / CDMA / Ethernet). Data center node consists of the data exchange layer, the data persistence layer, and the business interface layer, which make the data collecting durable, and provide standardized data for business systems based on mapping relationship of collected data and business data. Relying on public communications networks, application of the system could establish the road of flow of information between the scene of origin certification and management center, and could realize the real-time collection, storage and processing between data of origin certification scene and databases of certification organization, and could achieve needs of long-range detection of agricultural origin.

  9. Sustainability of Agricultural Systems: Concept to Application

    EPA Science Inventory

    Agriculture not only feeds the planet, it also is the biggest overall factor affecting the environment. Thus, innovative sustainable farming systems that produce healthy food and protect the environment at the same time are very much needed. We, as agricultural engineers, need ...

  10. Agricultural Drainage Management Systems Task Force (ADMSTF)

    USDA-ARS?s Scientific Manuscript database

    The Agricultural Drainage Management Systems (ADMS) Task Force was initiated during a Charter meeting in the fall of 2002 by dedicated professional employees of Federal, State, and Local Government Agencies and Universities. The Agricultural Drainage Management (ADM) Coalition was established in 200...

  11. The Metric System. [Student Worksheets for Vocational Agricultural Courses].

    ERIC Educational Resources Information Center

    Jewell, Larry R.

    This learning module provides students with practice in applying mathematical operations to vocational agriculture. The module consists of unit objectives, definitions, information, problems to solve, worksheets suitable for various levels of vocational agriculture instruction, and answer keys for the problems and worksheets. This module, which…

  12. Key attributes of agricultural innovations in semi-arid smallholder farming systems in south-west Zimbabwe

    NASA Astrophysics Data System (ADS)

    Mutsvangwa-Sammie, Eness P.; Manzungu, Emmanuel; Siziba, Shephard

    2018-06-01

    In Sub-Sahara Africa, which includes Zimbabwe, about 80% of the population depends on agriculture for subsistence, employment and income. Agricultural production and productivity are, however, low. This has been attributed to a lack of appropriate innovations despite the huge investments that have been made to promote 'innovations' as a means to safeguarding agriculture-based livelihoods, which raises the question of how innovations are conceptualized, designed and implemented. This paper explores the key attributes of agricultural innovations by assessing how innovations are conceptualized, designed and implemented in semi-arid smallholder farming systems in south-west Zimbabwe. The study gathered information from 13 key informants and a household survey of 239 farmer households from Gwanda and Insiza districts. Results showed a multiplicity of understandings of agricultural innovations among different stakeholders. However, novelty/newness, utility and adaptability were identified as the major attributes. In general, farmers characterized agricultural innovations as 'something new and mostly introduced by NGOs' but did not associate them with the key attributes of utility and adaptability. More crop-related innovations were identified despite the area being suitable for livestock production. The paper concludes that, rather than view the multiple and sometimes competing understandings of agricultural innovations as undesirable, this should be used to promote context specific innovations which stand a better chance of enhancing agriculture-based livelihoods.

  13. Natuculture Systems: Addressing Students' STEM and Agriculture Knowledge

    NASA Astrophysics Data System (ADS)

    Joyce, Alexander Augusto

    The purpose of this study was to assess the inclusion of a Natuculture systems learning experience into selected high school STEM courses to determine high school students' interests in majoring in STEM and for pursuing careers in agricultural sciences. Natuculture is defined as "any human-made system that mimics nature in human-disturbed landscapes". The research occurred at an urban area high school located in the Piedmont region of North Carolina. Fifty-three students in grades 9-12 participated during an academic semester learning experience which included planting, maintenance, & harvesting for an oasissofa. Data was collected using a questionnaire and reflective journals to gather students' attitudes towards agriculture and science and knowledge towards agriculture. Results showed that while the experiences did not improve students' interest in pursuing careers in agricultural sciences, overall, they did increase their knowledge of concepts related to agriculture. It was concluded that students benefit from experiential learning experiences. Based on the study, it is recommended that future research follow up with students to learn of their educational and career choices in agriculture and future learning experiences include curricula that integrates agricultural topics with STEM courses.

  14. Traceability System For Agricultural Productsbased on Rfid and Mobile Technology

    NASA Astrophysics Data System (ADS)

    Sugahara, Koji

    In agriculture, it is required to establish and integrate food traceability systems and risk management systems in order to improve food safety in the entire food chain. The integrated traceability system for agricultural products was developed, based on innovative technology of RFID and mobile computing. In order to identify individual products on the distribution process efficiently,small RFID tags with unique ID and handy RFID readers were applied. On the distribution process, the RFID tags are checked by using the readers, and transit records of the products are stored to the database via wireless LAN.Regarding agricultural production, the recent issues of pesticides misuse affect consumer confidence in food safety. The Navigation System for Appropriate Pesticide Use (Nouyaku-navi) was developed, which is available in the fields by Internet cell-phones. Based on it, agricultural risk management systems have been developed. These systems collaborate with traceability systems and they can be applied for process control and risk management in agriculture.

  15. Agriculture: About EPA's National Agriculture Center

    EPA Pesticide Factsheets

    EPA's National Agriculture Center (Ag Center), with the support of the United States Department of Agriculture, serves growers, livestock producers, other agribusinesses, and agricultural information/education providers.

  16. Linking pesticides and human health: a geographic information system (GIS) and Landsat remote sensing method to estimate agricultural pesticide exposure.

    PubMed

    VoPham, Trang; Wilson, John P; Ruddell, Darren; Rashed, Tarek; Brooks, Maria M; Yuan, Jian-Min; Talbott, Evelyn O; Chang, Chung-Chou H; Weissfeld, Joel L

    2015-08-01

    Accurate pesticide exposure estimation is integral to epidemiologic studies elucidating the role of pesticides in human health. Humans can be exposed to pesticides via residential proximity to agricultural pesticide applications (drift). We present an improved geographic information system (GIS) and remote sensing method, the Landsat method, to estimate agricultural pesticide exposure through matching pesticide applications to crops classified from temporally concurrent Landsat satellite remote sensing images in California. The image classification method utilizes Normalized Difference Vegetation Index (NDVI) values in a combined maximum likelihood classification and per-field (using segments) approach. Pesticide exposure is estimated according to pesticide-treated crop fields intersecting 500 m buffers around geocoded locations (e.g., residences) in a GIS. Study results demonstrate that the Landsat method can improve GIS-based pesticide exposure estimation by matching more pesticide applications to crops (especially temporary crops) classified using temporally concurrent Landsat images compared to the standard method that relies on infrequently updated land use survey (LUS) crop data. The Landsat method can be used in epidemiologic studies to reconstruct past individual-level exposure to specific pesticides according to where individuals are located.

  17. A seasonal agricultural drought forecast system for food-insecure regions of East Africa

    USGS Publications Warehouse

    Shukla, Shraddhanand; McNally, Amy; Husak, Gregory; Funk, Christopher C.

    2014-01-01

     The increasing food and water demands of East Africa's growing population are stressing the region's inconsistent water resources and rain-fed agriculture. More accurate seasonal agricultural drought forecasts for this region can inform better water and agricultural management decisions, support optimal allocation of the region's water resources, and mitigate socio-economic losses incurred by droughts and floods. Here we describe the development and implementation of a seasonal agricultural drought forecast system for East Africa (EA) that provides decision support for the Famine Early Warning Systems Network's science team. We evaluate this forecast system for a region of equatorial EA (2° S to 8° N, and 36° to 46° E) for the March-April-May growing season. This domain encompasses one of the most food insecure, climatically variable and socio-economically vulnerable regions in EA, and potentially the world: this region has experienced famine as recently as 2011. To assess the agricultural outlook for the upcoming season our forecast system simulates soil moisture (SM) scenarios using the Variable Infiltration Capacity (VIC) hydrologic model forced with climate scenarios for the upcoming season. First, to show that the VIC model is appropriate for this application we forced the model with high quality atmospheric observations and found that the resulting SM values were consistent with the Food and Agriculture Organization's (FAO's) Water Requirement Satisfaction Index (WRSI), an index used by FEWS NET to estimate crop yields. Next we tested our forecasting system with hindcast runs (1993–2012). We found that initializing SM forecasts with start-of-season (5 March) SM conditions resulted in useful SM forecast skill (> 0.5 correlation) at 1-month, and in some cases at 3 month lead times. Similarly, when the forecast was initialized with mid-season (i.e. 5 April) SM conditions the skill until the end-of-season improved. This shows that early-season rainfall

  18. Research on the development and preliminary application of Beijing agricultural sci-tech service hotline WebApp in agricultural consulting services

    NASA Astrophysics Data System (ADS)

    Yu, Weishui; Luo, Changshou; Zheng, Yaming; Wei, Qingfeng; Cao, Chengzhong

    2017-09-01

    To deal with the “last kilometer” problem during the agricultural science and technology information service, we analyzed the feasibility, necessity and advantages of WebApp applied to agricultural information service and discussed the modes of WebApp used in agricultural information service based on the requirements analysis and the function of WebApp. To overcome the existing App’s defects of difficult installation and weak compatibility between the mobile operating systems, the Beijing Agricultural Sci-tech Service Hotline WebApp was developed based on the HTML and JAVA technology. The WebApp has greater compatibility and simpler operation than the Native App, what’s more, it can be linked to the WeChat public platform making it spread easily and run directly without setup process. The WebApp was used to provide agricultural expert consulting services and agriculture information push, obtained a good preliminary application achievement. Finally, we concluded the creative application of WebApp in agricultural consulting services and prospected the development of WebApp in agricultural information service.

  19. Developing an Integrated Information System for the Food Sector. Agricultural Economic Report No. 575.

    ERIC Educational Resources Information Center

    Manchester, Alden

    This document proposes an information system for the food sector that integrates measures of prices, quantities, and values. It suggests that such an integrated information system provides more information about many developments in the food sector than a system that separately measures prices, quantities, or values. Concepts and approaches…

  20. Understanding the Information Needs of Academic Scholars in Agricultural and Biological Sciences

    ERIC Educational Resources Information Center

    Kuruppu, Pali U.; Gruber, Anne Marie

    2006-01-01

    This study investigates the information needs of faculty and graduate students in agricultural and biological sciences. Qualitative research methods, interviews and focus groups, were used to examine what types of information these scholars need for their research, teaching and learning, how they seek that information, and perceptions. The…

  1. The Study and Implementation of Text-to-Speech System for Agricultural Information

    NASA Astrophysics Data System (ADS)

    Zheng, Huoguo; Hu, Haiyan; Liu, Shihong; Meng, Hong

    The Broadcast and Television coverage has increased to more than 98% in china. Information services by radio have wide coverage, low cost, easy-to-grass-roots farmers to accept etc. characteristics. In order to play the better role of broadcast information service, as well as aim at the problem of lack of information resource in rural, we R & D the text-to-speech system. The system includes two parts, software and hardware device, both of them can translate text into audio file. The software subsystem was implemented basic on third-part middleware, and the hardware subsystem was realized with microelectronics technology. Results indicate that the hardware is better than software. The system has been applied in huailai city hebei province, which has conversed more than 8000 audio files as programming materials for the local radio station.

  2. Concept of an innovative water management system with decentralized water reclamation and cascading material-cycle for agricultural areas.

    PubMed

    Fujiwara, T

    2012-01-01

    Unlike in urban areas where intensive water reclamation systems are available, development of decentralized technologies and systems is required for water use to be sustainable in agricultural areas. To overcome various water quality issues in those areas, a research project entitled 'Development of an innovative water management system with decentralized water reclamation and cascading material-cycle for agricultural areas under the consideration of climate change' was launched in 2009. This paper introduces the concept of this research and provides detailed information on each of its research areas: (1) development of a diffuse agricultural pollution control technology using catch crops; (2) development of a decentralized differentiable treatment system for livestock and human excreta; and (3) development of a cascading material-cycle system for water pollution control and value-added production. The author also emphasizes that the innovative water management system for agricultural areas should incorporate a strategy for the voluntary collection of bio-resources.

  3. Pesticide Health and Safety Challenges Facing Informal Sector Workers: A Case of Small-scale Agricultural Workers in Tanzania.

    PubMed

    Ngowi, Aiwerasia; Mrema, Ezra; Kishinhi, Stephen

    2016-08-01

    The Tanzania informal sector is growing fast, with precarious working conditions and particular hazards for women and children in agriculture. Hazardous agricultural chemicals including pesticides are mostly imported and have been used for many years. Despite the role played by pesticides in food security and vector control, these chemicals are responsible for acute and chronic illnesses among communities. The availability of obsolete persistent organic pesticides on the open market indicates existence of an inadequate regulatory system. People who get injured or ill in the agriculture sector in Tanzania receive health services in primary health care facilities where professionals have little or no knowledge of pesticides. We are presenting the pesticide health and safety challenges faced by small-scale farmers who fall in the informal sector. Achievements that have been made by the government and other players to reduce and prevent pesticide exposures and poisoning are also outlined. © The Author(s) 2016.

  4. Blending local scale information for developing agricultural resilience in Ethiopia

    USGS Publications Warehouse

    Funk, Christopher C.; Husak, Gregory; Mahiny, A.S; Eilerts, Gary; Rowland, James

    2013-01-01

    This brief article looks at the intersection of climate, land cover/land use, and population trends in the world's most food insecure country, Ethiopia. As a result of warming in the Indian and Western Pacific oceans, Ethiopia has experienced substantial drying over the past 20 years. We intersect the spatial pattern of this drying with high resolution climatologies, maps of agricultural expansion, population data, and socioeconomic livelihoods information to suggest that the coincidence of drying and agricultural expansion in south-central Ethiopia is likely adversely affecting a densely populated region with high levels of poverty and low wage levels.

  5. eFarm: A Tool for Better Observing Agricultural Land Systems

    PubMed Central

    Yu, Qiangyi; Shi, Yun; Tang, Huajun; Yang, Peng; Xie, Ankun; Liu, Bin; Wu, Wenbin

    2017-01-01

    Currently, observations of an agricultural land system (ALS) largely depend on remotely-sensed images, focusing on its biophysical features. While social surveys capture the socioeconomic features, the information was inadequately integrated with the biophysical features of an ALS and the applications are limited due to the issues of cost and efficiency to carry out such detailed and comparable social surveys at a large spatial coverage. In this paper, we introduce a smartphone-based app, called eFarm: a crowdsourcing and human sensing tool to collect the geotagged ALS information at the land parcel level, based on the high resolution remotely-sensed images. We illustrate its main functionalities, including map visualization, data management, and data sensing. Results of the trial test suggest the system works well. We believe the tool is able to acquire the human–land integrated information which is broadly-covered and timely-updated, thus presenting great potential for improving sensing, mapping, and modeling of ALS studies. PMID:28245554

  6. Elementary student and prospective teachers' agri-food system literacy: Understandings of agricultural and science education's goals for learning

    NASA Astrophysics Data System (ADS)

    Trexler, Cary Jay

    1999-09-01

    Although rhetoric abounds in the agricultural education literature regarding the public's dearth of agri-food system literacy, problems arise when establishing educational interventions to help ameliorate illiteracy. Researchers do not fully know what individuals understand about the complex agri-food system. Hence, educational programs and curricula may focus on areas where students already possess well developed and scientifically accurate schemata, while ignoring other areas where incompatible or naive understandings persist. Democratic decisions about complex societal and environmental issues, such as trade-offs of our industrial agri-food system, require individuals to possess understandings of complex interrelationships. This exploratory qualitative study determines what two groups---elementary students and prospective elementary school teachers---understand about selected concepts foundational to agri-food system literacy. To ground the study in current national education curricular standards, a synthesis of both agricultural and science education benchmarks was developed. This helped structure interviews with the study's informants: nine elementary students and nine prospective elementary teachers. Analysis of discourse was based upon a conceptual change methodology. Findings showed that informant background and non-school experiences were linked to agri-food system literacy, while formal, in-school learning was not. For elementary students, high socio-economic status, gardening and not living in urban areas were correlates with literacy; the prospective teacher group exhibited similar trends. Informants understood that food came from farms where plants and animals were raised. For the majority, however, farms were described as large gardens. Additionally, informants lacked a clear understanding of the roles soil and fertilizers play in crop production. Further, few spoke of weeds as competitors with crops for growth requirements. Informants understood that

  7. Operationalizing crop monitoring system for informed decision making related to food security in Nepal

    NASA Astrophysics Data System (ADS)

    Qamer, F. M.; Shah, S. N. Pd.; Murthy, M. S. R.; Baidar, T.; Dhonju, K.; Hari, B. G.

    2014-11-01

    In Nepal, two thirds of the total population depend on agriculture for their livelihoods and more than one third of Gross Domestic Product (GDP) comes from the agriculture sector. However, effective agriculture production across the country remains a serious challenge due to various factors, such as a high degree of spatial and temporal climate variability, irrigated and rain-fed agriculture systems, farmers' fragile social and economic fabric, and unique mountain practices. ICIMOD through SERVIR-Himalaya initiative with collaboration of Ministry of Agricultural Development (MoAD) is working on developing a comprehensive crop monitoring system which aims to provide timely information on crop growth and drought development conditions. This system analyzes historical climate and crop conditions patterns and compares this data with the current growing season to provide timely assessment of crop growth. Using remote sensing data for vegetation indices, temperature and rainfall, the system generated anomaly maps are inferred to predict the increase or shortfall in production. Comparisons can be made both spatially and in graphs and figures at district and Village Developmental Committee (VDC) levels. Timely information on possible anomaly in crop production is later used by the institutions like Ministry of Agricultural Development, Nepal and World Food Programme, Nepal to trigger appropriate management response. Future potential includes integrating data on agricultural inputs, socioeconomics, demographics, and transportation to holistically assess food security in the region served by SERVIR-Himalaya.

  8. Water quality modeling using geographic information system (GIS) data

    NASA Technical Reports Server (NTRS)

    Engel, Bernard A

    1992-01-01

    Protection of the environment and natural resources at the Kennedy Space Center (KSC) is of great concern. The potential for surface and ground water quality problems resulting from non-point sources of pollution was examined using models. Since spatial variation of parameters required was important, geographic information systems (GIS) and their data were used. The potential for groundwater contamination was examined using the SEEPAGE (System for Early Evaluation of the Pollution Potential of Agricultural Groundwater Environments) model. A watershed near the VAB was selected to examine potential for surface water pollution and erosion using the AGNPS (Agricultural Non-Point Source Pollution) model.

  9. Evolution of the knowledge system for agricultural development in the Yaqui Valley, Sonora, Mexico.

    PubMed

    McCullough, Ellen B; Matson, Pamela A

    2016-04-26

    Knowledge systems-networks of linked actors, organizations, and objects that perform a number of knowledge-related functions that link knowledge and know how with action-have played a key role in fostering agricultural development over the last 50 years. We examine the evolution of the knowledge system of the Yaqui Valley, Mexico, a region often described as the home of the green revolution for wheat, tracing changes in the functions of critical knowledge system participants, information flows, and research priorities. Most of the knowledge system's key players have been in place for many decades, although their roles have changed in response to exogenous and endogenous shocks and trends (e.g., drought, policy shifts, and price trends). The system has been agile and able to respond to challenges, in part because of the diversity of players (evolving roles of actors spanning research-decision maker boundaries) and also because of the strong and consistent role of innovative farmers. Although the agricultural research agenda in the Valley is primarily controlled from within the agricultural sector, outside voices have become an important influence in broadening development- and production-oriented perspectives to sustainability perspectives.

  10. 7 CFR 277.18 - Establishment of an Automated Data Processing (ADP) and Information Retrieval System.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ...) and Information Retrieval System. 277.18 Section 277.18 Agriculture Regulations of the Department of... Data Processing (ADP) and Information Retrieval System. (a) Scope and application. This section... costs of planning, design, development or installation of ADP and information retrieval systems if the...

  11. 7 CFR 277.18 - Establishment of an Automated Data Processing (ADP) and Information Retrieval System.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ...) and Information Retrieval System. 277.18 Section 277.18 Agriculture Regulations of the Department of... Data Processing (ADP) and Information Retrieval System. (a) Scope and application. This section... costs of planning, design, development or installation of ADP and information retrieval systems if the...

  12. 7 CFR 277.18 - Establishment of an Automated Data Processing (ADP) and Information Retrieval System.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ...) and Information Retrieval System. 277.18 Section 277.18 Agriculture Regulations of the Department of... Data Processing (ADP) and Information Retrieval System. (a) Scope and application. This section... costs of planning, design, development or installation of ADP and information retrieval systems if the...

  13. 7 CFR 277.18 - Establishment of an Automated Data Processing (ADP) and Information Retrieval System.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ...) and Information Retrieval System. 277.18 Section 277.18 Agriculture Regulations of the Department of... Data Processing (ADP) and Information Retrieval System. (a) Scope and application. This section... costs of planning, design, development or installation of ADP and information retrieval systems if the...

  14. How nutrition policy affects food and agricultural policy.

    PubMed

    Johnson, S R

    1994-09-01

    The impact of the improved understanding of nutrition and the importance of the diet in nutrition status has had subtle but far-reaching consequences for food and agricultural policy. Many of the changes in the food supply are in response to increased consciousness of diet, nutrition and health status. The simple connection between nutrition policy and food and agricultural policy follows from the sovereignty of the consumer. Nutrition policy influences consumers' attitudes and choices. These impact the behavior of agents in the food and production system. And, if properly designed, food and agricultural policies can accelerate the process of adapting the production and distribution systems for agriculture and food to better meet the demands of the more informed consumer. Policies that reflect the behavior of consumers and supply better information to the agents in the food and agricultural system will be the most effective.

  15. Agricultural Conservation Planning Toolbox User's Manual

    USDA-ARS?s Scientific Manuscript database

    Agricultural Conservation Planning Framework (ACPF) comprises an approach for applying concepts of precision conservation to watershed planning in agricultural landscapes. To enable application of this approach, USDA/ARS has developed a set of Geographic Information System (GIS) based software tools...

  16. Developing an automatic classification system of vegetation anomalies for early warning with the ASAP (Anomaly hot Spots of Agricultural Production) system

    NASA Astrophysics Data System (ADS)

    Meroni, M.; Rembold, F.; Urbano, F.; Lemoine, G.

    2016-12-01

    Anomaly maps and time profiles of remote sensing derived indicators relevant to monitor crop and vegetation stress can be accessed online thanks to a rapidly growing number of web based portals. However, timely and systematic global analysis and coherent interpretation of such information, as it is needed for example for SDG 2 related monitoring, remains challenging. With the ASAP system (Anomaly hot Spots of Agricultural Production) we propose a two-step analysis to provide monthly warning of production deficits in water-limited agriculture worldwide. The first step is fully automated and aims at classifying each administrative unit (1st sub-national level) into a number of possible warning levels, ranging from "none" to "watch" and up to "extended alarm". The second step involves the verification of the automatic warnings and integration into a short national level analysis by agricultural analysts. In this paper we describe the methodological development of the automatic vegetation anomaly classification system. Warnings are triggered only during the crop growing season, defined by a remote sensing based phenology. The classification takes into consideration the fraction of the agricultural and rangelands area for each administrative unit that is affected by a severe anomaly of two rainfall-based indicators (the Standardized Precipitation Index (SPI), computed at 1 and 3-month scale) and one biophysical indicator (the cumulative NDVI from the start of the growing season). The severity of the warning thus depends on the timing, the nature and the number of indicators for which an anomaly is detected. The prototype system is using global NDVI images of the METOP sensor, while a second version is being developed based on 1km Modis NDVI with temporal smoothing and near real time filtering. Also a specific water balance model is under development to include agriculture water stress information in addition to the SPI. The monthly warning classification and crop

  17. [Agricultural policies and farming systems: A case study of landscape changes in Shizuitou Village in the recent four decades].

    PubMed

    Wang, Xiao-jun; Zhou, Yang; Yan, Yan-bin; Li, Lei

    2015-01-01

    Agricultural policy in China's rural heartland is driving profound changes to traditional farming systems. A case study covering four decades mapped and recorded farming patterns and processes in Shizuitou Village, a rural village in northwest Shanxi. An integrated geospatial methodology from geography and anthropology was employed in the case study to record the changing dynamics of farming systems in Shizuitou Village to discover the long-term impacts of China's agricultural policies on village farming systems. Positive and negative impacts of agricultural policies on village farming systems were mapped, inventoried and evaluated using Participatory Geographic Information Systems (PGIS). The results revealed traditional polycultures are being gradually replaced by industrialized monocultures. The driving forces behind these farming changes come from a series of government agricultural policies aiming at modernization of farming systems in China. The goal of these policies was to spur rapid development of industrial agriculture under the guise of modernization but is leading to the decay of traditional farming systems in the village that maintained local food security with healthy land for hundreds of years. The paper concluded with a recommendation that in future, agricultural policy makers should strike a more reasonable balance between short-term agricultural profits and long-term farming sustainability based on the principles of ecological sustainable development under the context of global changes.

  18. Digital spatial soil and land information for agriculture development

    NASA Astrophysics Data System (ADS)

    Sharma, R. K.; Laghathe, Pankaj; Meena, Ranglal; Barman, Alok Kumar; Das, Satyendra Nath

    2006-12-01

    Natural resource management calls for study of natural system prevailing in the country. In India floods and droughts visit regularly, causing extensive damages of natural wealth including agriculture that are crucial for sustenance of economic growth. The Indian Sub-continent drained by many major rivers and their tributaries where watershed, the hydrological unit forms a natural system that allows management and development of land resources following natural harmony. Acquisition of various kinds and levels of soil and land characteristics using both conventional and remote sensing techniques and subsequent development of digital spatial data base are essential to evolve strategy for planning watershed development programmes, their monitoring and impact evaluation. The multi-temporal capability of remote sensing sensors helps to update the existing data base which are of dynamic in nature. The paper outlines the concept of spatial data base development, generation using remote sensing techniques, designing of data structure, standardization and integration with watershed layers and various non spatial attribute data for various applications covering watershed development planning, alternate land use planning, soil and water conservation, diversified agriculture practices, generation of soil health card, soil and land reclamation, etc. The soil and land characteristics are vital to derive various interpretative groupings or master table that helps to generate the desired level of information of various clients using the GIS platform. The digital spatial data base on soils and watersheds generated by All India Soil and Land Use Survey will act as a sub-server of the main GIS based Web Server being hoisted by the planning commission for application of spatial data for planning purposes under G2G domain. It will facilitate e-governance for natural resource management using modern technology.

  19. The Soil Degradation Subsystem of the Hungarian Environmental Information System

    NASA Astrophysics Data System (ADS)

    Szabó, József; Pirkó, Béla; Szabóné Kele, Gabriella; Dombos, Miklós; László, Péter; Koós, Sándor; Bakacsi, Zsófia; Laborczi, Annamária; Pásztor, László

    2013-04-01

    Regular data collection on the state of agricultural soils has not been in operation in Hungary for more than two decades. In the meantime, mainly thanks to the Hungarian Soil Strategy and the planned Soil Framework Directive, the demand for the information on state of Hungarian soils and the follow up of the harmful changes in their conditions and functioning has greatly increased. In 2010 the establishment of a new national soil monitoring system was supported by the Environment and Energy Operational Programme for Informatics Development. The aim of the project was to collect, manage, analyse and publish soil data related to the state of soils and the environmental stresses attributed to the pressures due to agriculture; setting up an appropriate information system in order to fulfil the directives of the Thematic Strategy for Soil Protection. Further objective was the web-based publication of soil data as well as information to support the related public service mission and to inform publicity. The developed information system operates as the Soil Degradation Subsystem of the National Environmental Information System being compatible with its other elements. A suitable representative sampling method was elaborated. The representativity is meant for soil associations, landuse, agricultural practices and typical degradation processes. Soil data were collected on county levels led by regional representatives but altogether they are representative for the whole territory of Hungary. During the project, about 700,000 elementary data were generated, close to 2,000 parcels of 285 farms were surveyed resulting more than 9,000 analysis, 7,000 samples and 28,000 pictures. The overall number of the recorded parcels is 4500, with a total area of about 250,000 hectares. The effect of agricultural land use on soils manifests in rapid changes -related to natural processes- in qualitative and quantitative soil parameters. In intensively used agricultural areas, particularly

  20. Agricultural Science Teachers' Barriers, Roles, and Information Source Preferences for Teaching Biotechnology Topics

    ERIC Educational Resources Information Center

    Mowen, Diana L.; Wingenbach, Gary J.; Roberts, T. Grady; Harlin, Julie F.

    2007-01-01

    The purpose of this study was to determine barriers, roles, and information source preferences for teaching agricultural biotechnology topics. Agricultural science teachers were described primarily as 37 year-old males who had taught for 12 years, had bachelor's degrees, and had lived or worked on a farm or ranch. Equipment was perceived as the…

  1. AgIIS, Agricultural Irrigation Imaging System, design and application

    NASA Astrophysics Data System (ADS)

    Haberland, Julio Andres

    Remote sensing is a tool that is increasingly used in agriculture for crop management purposes. A ground-based remote sensing data acquisition system was designed, constructed, and implemented to collect high spatial and temporal resolution data in irrigated agriculture. The system was composed of a rail that mounts on a linear move irrigation machine, and a small cart that runs back and forth on the rail. The cart was equipped with a sensors package that measured reflectance in four discrete wavelengths (550 nm, 660 nm, 720 nm, and 810 nm, all 10 nm bandwidth) and an infrared thermometer. A global positioning system and triggers on the rail indicated cart position. The data was postprocessed in order to generate vegetation maps, N and water status maps and other indices relevant for site-specific crop management. A geographic information system (GIS) was used to generate images of the field on any desired day. The system was named AgIIS (A&barbelow;gricultural I&barbelow;rrigation I&barbelow;maging S&barbelow;ystem). This ground based remote sensing acquisition system was developed at the Agricultural and Biosystems Engineering Department at the University of Arizona in conjunction with the U.S. Water Conservation Laboratory in Phoenix, as part of a cooperative study primarily funded by the Idaho National Environmental and Engineering Laboratory. A second phase of the study utilized data acquired with AgIIS during the 1999 cotton growing season to model petiole nitrate (PNO3 -) and total leaf N. A latin square experimental design with optimal and low water and optimal and low N was used to evaluate N status under water and no water stress conditions. Multivariable models were generated with neural networks (NN) and multilinear regression (MLR). Single variable models were generated from chlorophyll meter readings (SPAD) and from the Canopy Chlorophyll Content Index (CCCI). All models were evaluated against observed PNO3- and total leaf N levels. The NN models

  2. 76 FR 29083 - Agriculture Priorities and Allocations System

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-05-19

    ... Vol. 76 Thursday, No. 97 May 19, 2011 Part III Department of Agriculture Farm Service Agency 7 CFR Part 789 Agriculture Priorities and Allocations System; Proposed Rule #0;#0;Federal Register / Vol. 76 , No. 97 / Thursday, May 19, 2011 / Proposed Rules#0;#0; [[Page 29084

  3. Evolution of the knowledge system for agricultural development in the Yaqui Valley, Sonora, Mexico

    PubMed Central

    McCullough, Ellen B.; Matson, Pamela A.

    2016-01-01

    Knowledge systems—networks of linked actors, organizations, and objects that perform a number of knowledge-related functions that link knowledge and know how with action—have played a key role in fostering agricultural development over the last 50 years. We examine the evolution of the knowledge system of the Yaqui Valley, Mexico, a region often described as the home of the green revolution for wheat, tracing changes in the functions of critical knowledge system participants, information flows, and research priorities. Most of the knowledge system's key players have been in place for many decades, although their roles have changed in response to exogenous and endogenous shocks and trends (e.g., drought, policy shifts, and price trends). The system has been agile and able to respond to challenges, in part because of the diversity of players (evolving roles of actors spanning research–decision maker boundaries) and also because of the strong and consistent role of innovative farmers. Although the agricultural research agenda in the Valley is primarily controlled from within the agricultural sector, outside voices have become an important influence in broadening development- and production-oriented perspectives to sustainability perspectives. PMID:21606365

  4. The GRIN-Global Information Management System – Public Interface Demonstration and Input Opportunity

    USDA-ARS?s Scientific Manuscript database

    The GRIN-Global (GG) Information Management System, under development for the past three years, provides the world's crop genebanks and plant genetic resource (PGR) users with a powerful, flexible, easy-to-use PGR information management system. Developed jointly by the USDA Agricultural Research Ser...

  5. Ecosystem Services from Edible Insects in Agricultural Systems: A Review.

    PubMed

    Payne, Charlotte L R; Van Itterbeeck, Joost

    2017-02-17

    Many of the most nutritionally and economically important edible insects are those that are harvested from existing agricultural systems. Current strategies of agricultural intensification focus predominantly on increasing crop yields, with no or little consideration of the repercussions this may have for the additional harvest and ecology of accompanying food insects. Yet such insects provide many valuable ecosystem services, and their sustainable management could be crucial to ensuring future food security. This review considers the multiple ecosystem services provided by edible insects in existing agricultural systems worldwide. Directly and indirectly, edible insects contribute to all four categories of ecosystem services as outlined by the Millennium Ecosystem Services definition: provisioning, regulating, maintaining, and cultural services. They are also responsible for ecosystem disservices, most notably significant crop damage. We argue that it is crucial for decision-makers to evaluate the costs and benefits of the presence of food insects in agricultural systems. We recommend that a key priority for further research is the quantification of the economic and environmental contribution of services and disservices from edible insects in agricultural systems.

  6. Ecosystem Services from Edible Insects in Agricultural Systems: A Review

    PubMed Central

    Payne, Charlotte L. R.; Van Itterbeeck, Joost

    2017-01-01

    Many of the most nutritionally and economically important edible insects are those that are harvested from existing agricultural systems. Current strategies of agricultural intensification focus predominantly on increasing crop yields, with no or little consideration of the repercussions this may have for the additional harvest and ecology of accompanying food insects. Yet such insects provide many valuable ecosystem services, and their sustainable management could be crucial to ensuring future food security. This review considers the multiple ecosystem services provided by edible insects in existing agricultural systems worldwide. Directly and indirectly, edible insects contribute to all four categories of ecosystem services as outlined by the Millennium Ecosystem Services definition: provisioning, regulating, maintaining, and cultural services. They are also responsible for ecosystem disservices, most notably significant crop damage. We argue that it is crucial for decision-makers to evaluate the costs and benefits of the presence of food insects in agricultural systems. We recommend that a key priority for further research is the quantification of the economic and environmental contribution of services and disservices from edible insects in agricultural systems. PMID:28218635

  7. The System Dynamics Model for Development of Organic Agriculture

    NASA Astrophysics Data System (ADS)

    Rozman, Črtomir; Škraba, Andrej; Kljajić, Miroljub; Pažek, Karmen; Bavec, Martina; Bavec, Franci

    2008-10-01

    Organic agriculture is the highest environmentally valuable agricultural system, and has strategic importance at national level that goes beyond the interests of agricultural sector. In this paper we address development of organic farming simulation model based on a system dynamics methodology (SD). The system incorporates relevant variables, which affect the development of the organic farming. The group decision support system (GDSS) was used in order to identify most relevant variables for construction of causal loop diagram and further model development. The model seeks answers to strategic questions related to the level of organically utilized area, levels of production and crop selection in a long term dynamic context and will be used for simulation of different policy scenarios for organic farming and their impact on economic and environmental parameters of organic production at an aggregate level.

  8. Agricultural SWOT analysis and wisdom agriculture design of chengdu

    NASA Astrophysics Data System (ADS)

    Zhang, Qian; Chen, Xiangyu; Du, Shaoming; Yin, Guowei; Yu, Feng; Liu, Guicai; Gong, Jin; Han, Fujun

    2017-08-01

    According to the status of agricultural information, this paper analyzed the advantages, opportunities and challenges of developing wisdom agriculture in Chengdu. By analyzed the local characteristics of Chengdu agriculture, the construction program of Chengdu wisdom agriculture was designed, which was based on the existing agricultural informatization. The positioning and development theme of Chengdu agriculture is leisure agriculture, urban agriculture and quality agriculture.

  9. Sustainable Uses of FGD Gypsum in Agricultural Systems: Introduction.

    PubMed

    Watts, Dexter B; Dick, Warren A

    2014-01-01

    Interest in using gypsum as a management tool to improve crop yields and soil and water quality has recently increased. Abundant supply and availability of flue gas desulfurization (FGD) gypsum, a by-product of scrubbing sulfur from combustion gases at coal-fired power plants, in major agricultural producing regions within the last two decades has attributed to this interest. Currently, published data on the long-term sustainability of FGD gypsum use in agricultural systems is limited. This has led to organization of the American Society of Agronomy's Community "By-product Gypsum Uses in Agriculture" and a special collection of nine technical research articles on various issues related to FGD gypsum uses in agricultural systems. A brief review of FGD gypsum, rationale for the special collection, overviews of articles, knowledge gaps, and future research directions are presented in this introductory paper. The nine articles are focused in three general areas: (i) mercury and other trace element impacts, (ii) water quality impacts, and (iii) agronomic responses and soil physical changes. While this is not an exhaustive review of the topic, results indicate that FGD gypsum use in sustainable agricultural production systems is promising. The environmental impacts of FGD gypsum are mostly positive, with only a few negative results observed, even when applied at rates representing cumulative 80-year applications. Thus, FGD gypsum, if properly managed, seems to represent an important potential input into agricultural systems. Copyright © by the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, Inc.

  10. Quality assurance of weather data for agricultural system model input

    USDA-ARS?s Scientific Manuscript database

    It is well known that crop production and hydrologic variation on watersheds is weather related. Rarely, however, is meteorological data quality checks reported for agricultural systems model research. We present quality assurance procedures for agricultural system model weather data input. Problems...

  11. Development of a UAV system for VNIR-TIR acquisitions in precision agriculture

    NASA Astrophysics Data System (ADS)

    Misopolinos, L.; Zalidis, Ch.; Liakopoulos, V.; Stavridou, D.; Katsigiannis, P.; Alexandridis, T. K.; Zalidis, G.

    2015-06-01

    Adoption of precision agriculture techniques requires the development of specialized tools that provide spatially distributed information. Both flying platforms and airborne sensors are being continuously evolved to cover the needs of plant and soil sensing at affordable costs. Due to restrictions in payload, flying platforms are usually limited to carry a single sensor on board. The aim of this work is to present the development of a vertical take-off and landing autonomous unmanned aerial vehicle (VTOL UAV) system for the simultaneous acquisition of high resolution vertical images at the visible, near infrared (VNIR) and thermal infrared (TIR) wavelengths. A system was developed that has the ability to trigger two cameras simultaneously with a fully automated process and no pilot intervention. A commercial unmanned hexacopter UAV platform was optimized to increase reliability, ease of operation and automation. The designed systems communication platform is based on a reduced instruction set computing (RISC) processor running Linux OS with custom developed drivers in an efficient way, while keeping the cost and weight to a minimum. Special software was also developed for the automated image capture, data processing and on board data and metadata storage. The system was tested over a kiwifruit field in northern Greece, at flying heights of 70 and 100m above the ground. The acquired images were mosaicked and geo-corrected. Images from both flying heights were of good quality and revealed unprecedented detail within the field. The normalized difference vegetation index (NDVI) was calculated along with the thermal image in order to provide information on the accurate location of stressors and other parameters related to the crop productivity. Compared to other available sources of data, this system can provide low cost, high resolution and easily repeatable information to cover the requirements of precision agriculture.

  12. Exploring agricultural production systems and their fundamental components with system dynamics modeling

    USDA-ARS?s Scientific Manuscript database

    Agricultural production in the United States is undergoing marked changes due to rapid shifts in consumer demands, input costs, and concerns for food safety and environmental impact. Agricultural production systems are comprised of multidimensional components and drivers that interact in complex wa...

  13. Information Use by PhD Students in Agriculture and Biology: A Dissertation Citation Analysis

    ERIC Educational Resources Information Center

    Kuruppu, Pali U.; Moore, Debra C.

    2008-01-01

    This article reports the findings of a study conducted to examine the types of information used by graduate students in the fields of biological and agricultural sciences at Iowa State University (ISU). The citations of doctoral dissertations submitted in nine agriculture and biological science subject fields (crop production and physiology;…

  14. National Agricultural Library | United States Department of Agriculture

    Science.gov Websites

    Skip to main content Home National Agricultural Library United States Department of Agriculture Ag | USDA.gov | Agricultural Research Service | Plain Language | FOIA | Accessibility Statement | Information

  15. The Development of a National Agricultural Extension Policy in Bangladesh.

    ERIC Educational Resources Information Center

    Walker, M.; Sarkar, A. A.

    1996-01-01

    The background of agriculture in Bangladesh and the process of developing a national agricultural extension policy focused on sustainable development are described. The policy explicates the meaning of agricultural extension, use of agricultural knowledge and information systems, and 11 core principles. (SK)

  16. Starting a Learning Progression for Agricultural Literacy: A Qualitative Study of Urban Elementary Student Understandings of Agricultural and Science Education Benchmarks

    ERIC Educational Resources Information Center

    Hess, Alexander Jay

    2010-01-01

    Science and agriculture professional organizations have argued for agricultural literacy as a goal for K-12 public education. Due to the complexity of our modern agri-food system, with social, economic, and environmental concerns embedded, an agriculturally literate society is needed for informed decision making, democratic participation, and…

  17. Interfacing geographic information systems and remote sensing for rural land-use analysis

    NASA Technical Reports Server (NTRS)

    Nellis, M. Duane; Lulla, Kamlesh; Jensen, John

    1990-01-01

    Recent advances in computer-based geographic information systems (GISs) are briefly reviewed, with an emphasis on the incorporation of remote-sensing data in GISs for rural applications. Topics addressed include sampling procedures for rural land-use analyses; GIS-based mapping of agricultural land use and productivity; remote sensing of land use and agricultural, forest, rangeland, and water resources; monitoring the dynamics of irrigation agriculture; GIS methods for detecting changes in land use over time; and the development of land-use modeling strategies.

  18. Mapping of Biophysical Parameters of Rice Agriculture System from Hyperspectral Imagery

    NASA Astrophysics Data System (ADS)

    Moharana, Shreedevi; Duta, Subashisa

    2017-04-01

    difference infrared index (NDII) predictive models demonstrated the spatial variability of leaf water content from 40 percentage to 90 percentage in the same rice agriculture system which has a good agreement with observed in-situ leaf water measurements. The spatial information of these parameters will be useful for crop nutrient management and yield forecasting, and will serve as inputs to various crop-forecasting models for developing a precision rice agriculture system. Key words: Rice agriculture system, nitrogen, chlorophyll, leaf water content, vegetation index

  19. Health information systems and pesticide poisoning at Pernambuco.

    PubMed

    de Albuquerque, Pedro Costa Cavalcanti; Gurgel, Idê Gomes Dantas; Gurgel, Aline do Monte; Augusto, Lia Giraldo da Silva; de Siqueira, Marília Teixeira

    2015-01-01

    Understanding the epidemiologic profile of a particular disease is key to undertake health actions. To that end, information systems that present quality data help in the decision-making process and demonstrate the impact of the problems. To analyze the contribution of health information systems for the characterization of pesticide poisoning through SINAN, CEATOX and SIM in the State of Pernambuco. In this study, the completeness and consistency of the data were assessed, as well as the epidemiological profile of pesticide poisoning in Pernambuco in the period from 2008 to 2012, based on the following Health Information Systems: Center for Toxicological Assistance of Pernambuco (CEATOX), Notifiable Diseases Information System (SINAN) and Mortality Information System (SIM). The data revealed incompleteness and inconsistencies in information. Regarding the profile, females are more affected in the morbidity profile, and men have a higher mortality rate. Poisoning was more frequent in young adults with low educational level. With regard to the circumstances, most of the cases were suicide attempts, unique acute cases and not related to work. Despite suggesting underreporting, the data showed that persons engaged in agriculture are most commonly affected. The strengthening of these systems is necessary for the generation of consistent information that support health policies for the population groups involved.

  20. Phosphorus modeling in tile drained agricultural systems using APEX

    USDA-ARS?s Scientific Manuscript database

    Phosphorus losses through tile drained systems in agricultural landscapes may be causing the persistent eutrophication problems observed in surface water. The purpose of this paper is to evaluate the state of the science in the Agricultural Policy/Environmental eXtender (APEX) model related to surf...

  1. Agriculture

    EPA Pesticide Factsheets

    The EPA Agriculture Resource Directory offers comprehensive, easy-to-understand information about environmental stewardship on farms and ranches; commonsense, flexible approaches that are both environmentally protective and agriculturally sound.

  2. Heavy metal loss from agricultural watershed to aquatic system: A scientometrics review.

    PubMed

    Ouyang, Wei; Wang, Yidi; Lin, Chunye; He, Mengchang; Hao, Fanghua; Liu, Hongbin; Zhu, Weihong

    2018-05-08

    Heavy metal pollution in soil and aquatic environments has attracted widespread attention due to its persistence, accumulation in the food chain and negative effects on ecological and human health. However, analyses of the watershed-scale migration mechanisms of heavy metal loss from agricultural systems to aquatic systems have seldom been studied systematically. Therefore, this review summarizes the available data in the literature (2003-2017) using CiteSpace software to provide insights into the specific characteristics of heavy metal loss from agricultural watersheds to aquatic systems and consequently shows global development trends that scientists can use for establishing future research directions. As opposed to traditional review articles by experts, this study provides a new method for quantitatively visualizing information about the development of this field over the past decade. The results indicate that among all countries, China was the most active contributor with the most publications and cooperated the most with other countries. In addition, most articles were classified as environmental sciences and ecology, environmental sciences or agricultural studies. Furthermore, based on a keyword co-word analysis by CiteSpace, it was concluded that erosion-linked transport of heavy metals was the most influencing factor of mitigation mechanism. Additionally, the migration characteristics of heavy metals in farmland soils and water under the complex environment impacts of various factors such as climate change and land-use changes were of great significance that future studies should focus on. Copyright © 2018 Elsevier B.V. All rights reserved.

  3. 77 FR 28625 - Comment Request for Information Collection for the Agricultural and Food Processing Clearance...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-05-15

    ...The Department of Labor (Department), as part of its continuing effort to reduce paperwork and respondent burden, conducts a preclearance consultation program to provide the public and Federal agencies with an opportunity to comment on proposed and/or continuing collections of information in accordance with the Paperwork Reduction Act of 1995 [44 U.S.C. 3506(c)(2)(A)]. This program helps ensure that requested data can be provided in the desired format, reporting burden (time and financial resources) is minimized, collection instruments are clearly understood, and the impact of collection requirements on respondents can be properly assessed. Currently, ETA is soliciting comments concerning the extension of the expiration date (November 30, 2012) for ETA Forms 790 and 795 to November 30, 2015, and revisions made to ETA Form 790, with respect to the collection of information on the recruitment of agricultural workers. In situations where an adequate supply of workers does not exist locally, agricultural employers must use the Agricultural and Food Processing Clearance Order, ETA Form 790, to list the job opening with the State Workforce Agency (SWA) for recruiting temporary agricultural workers. The Agricultural and Food Processing Clearance Memorandum, ETA Form 795, is used by SWAs to extend job orders beyond their jurisdictions, give notice of action on a clearance order, request additional information, amend the order, report results, and accept or reject the extended job order. No changes were made to the ETA Form 795.

  4. AgMIP's Transdisciplinary Agricultural Systems Approach to Regional Integrated Assessment of Climate Impacts, Vulnerability, and Adaptation

    NASA Technical Reports Server (NTRS)

    Antle, John M.; Valdivia, Roberto O.; Boote, Kenneth J.; Janssen, Sander; Jones, James W.; Porter, Cheryl H.; Rosenzweig, Cynthia; Ruane, Alexander C.; Thorburn, Peter J.

    2015-01-01

    This chapter describes methods developed by the Agricultural Model Intercomparison and Improvement Project (AgMIP) to implement a transdisciplinary, systems-based approach for regional-scale (local to national) integrated assessment of agricultural systems under future climate, biophysical, and socio-economic conditions. These methods were used by the AgMIP regional research teams in Sub-Saharan Africa and South Asia to implement the analyses reported in their respective chapters of this book. Additional technical details are provided in Appendix 1.The principal goal that motivates AgMIP's regional integrated assessment (RIA) methodology is to provide scientifically rigorous information needed to support improved decision-making by various stakeholders, ranging from local to national and international non-governmental and governmental organizations.

  5. The GRIN-Global Information Management System – A Preview and Opportunity for Public User Input

    USDA-ARS?s Scientific Manuscript database

    The GRIN-Global Information Management System, under development for the past two years, will provide the world's crop genebanks and plant genetic resource (PGR) users with a powerful, flexible, easy-to-use PGR information management system. Developed jointly by the USDA Agricultural Research Servi...

  6. Using the GRIN-Global System to Identify Useful Plant Genetic Resources & Information

    USDA-ARS?s Scientific Manuscript database

    The GRIN-Global (GG) System has been developed to provide the world's crop genebanks and plant genetic resource (PGR) users with a powerful, flexible, easy-to-use PGR information management system. Developed jointly by the USDA Agricultural Research Service, Bioversity International and the Global C...

  7. The Washington experience (evaluation and selection of hardware for automated geo-based information systems)

    NASA Technical Reports Server (NTRS)

    Harding, R. A.

    1981-01-01

    A Washington geographic information system is described. The system has thrust from two different angles: the proprietary need for information to support the management of five million acres of thrust lands by the Department of Natural Resources, and the need for data over the entire state because of statewide governmental responsibilities. The data base includes information relevant to agricultural, forest, industrial, business, and community growth with emphasis on assembling information useful in setting intermediate and long-range goals. System selection procedures and system feasibility studies are discussed.

  8. A 10-Year Assessment of Information and Communication Technology Tasks Required in Undergraduate Agriculture Courses

    ERIC Educational Resources Information Center

    Edgar, Leslie D.; Johnson, Donald M.; Cox, Casandra

    2012-01-01

    This study sought to assess required information and communication technology (ICT) tasks in selected undergraduate agriculture courses in a land-grant university during a 10-year period. Selected agriculture faculty members in the fall 1999 (n = 63), 2004 (n = 55), and 2009 (n = 64) semesters were surveyed to determine the ICT tasks they required…

  9. [Agricultural eco-economic system coupling in Zhifanggou watershed in hilly-gully region of Loess Plateau].

    PubMed

    Wang, Ji-Jun

    2009-11-01

    Agricultural eco-economic system coupling is an organic unit formed by the inherent interaction between agricultural ecosystem and economic system, and regulated and controlled by mankind moderate interference. Its status can be expressed by the circular chain-net structure of agricultural resources and agricultural industry. The agricultural eco-economic system in Zhifanggou watershed has gone through the process of system coupling, system conflict, system coupling, and partial conflict in high leverage, which is caused by the farmers' requirement and the state's macro-policy, economic means, and administrative means. To cope with the problems of agricultural eco-economics system coupling in Zhifanggou watershed, the optimal coupling model should be established, with tree-grass resources and related industries as the core.

  10. Adoption of Information and Communication Technologies (ICTs) by Agricultural Science and Extension Teachers in Abuja, Nigeria

    ERIC Educational Resources Information Center

    Alabi, Olugbenga Omotayo

    2016-01-01

    This study examined adoption of Information and Communication Technologies (ICTs) by agricultural science and extension teachers in Abuja, Nigeria. Specifically, the objectives are to: identify the background and demographic characteristics of agricultural science and extension teachers in the study area; examine the factors influencing adoption…

  11. Financial Performance of Specialized Cotton Farms. Agriculture Information Bulletin Number 538.

    ERIC Educational Resources Information Center

    Ahearn, Mary; And Others

    This United States Department of Agriculture summary report focuses on the revenues, costs, and finances of specialized cotton farms in 1986. The report also provides general information on all farms producing cotton. The data on which the report is based are from the 1986 Farm Costs and Returns Survey. Some of the conclusions drawn from the study…

  12. GEODATA: Information System Based on Geospatial for Early Warning Tracking and Analysis Agricultural Plant Diseases in Central Java

    NASA Astrophysics Data System (ADS)

    Prasetyo, S. Y. J.; Agus, Y. H.; Dewi, C.; Simanjuntak, B. H.; Hartomo, K. D.

    2017-03-01

    The Government of Indonesia is currently faced with the problems of food, especially rice. It needs in large numbers that have to import from neighboring countries. Actually, the Indonesian government has the ability to produce rice to meet national needs but is still faced with the problem of pest attack rice annually increasing extent. One of the factors is that geographically Indonesia located on the migration path of world rice insect pests (called BPH or Brown Planthoppers) (Nilaparvata lugens Stal.) It leads endemic status annually. One proposed strategy to be applied is to use an early warning system based on a specific region of the main pest population. The proposed information system called GEODATA. GEODATA is Geospatial Outbreak of Disease Tracking and Analysis. The system works using a library ESSA (Exponential Smoothing - Spatial Autocorrelation) developed in previous studies in Satya Wacana Christian University. GEODATA built to meet the qualifications required surveillance device by BMKG (Indonesian Agency of Meteorology, Climatology and Geophysics’ Central Java Provinces), BPTPH (Indonesian Agency of Plant Protection and Horticulture) Central Java Provinces, BKP-KP District Boyolali, Central Java, (Indonesian Agency of Food Security and Agriculture Field Supervisor, District Boyolali, Central Java Provinces) and farmer groups. GIS GEODATA meets the needs of surveillance devices that include: (1) mapping of the disease, (2) analysis of the dynamics of the disease, and (3) prediction of attacks / disease outbreaks in a particular region. GIS GEODATA is currently under implementation in the laboratory field observations of plant pest in Central Java province, Indonesia.

  13. Climate change induced transformations of agricultural systems: insights from a global model

    NASA Astrophysics Data System (ADS)

    Leclère, D.; Havlík, P.; Fuss, S.; Schmid, E.; Mosnier, A.; Walsh, B.; Valin, H.; Herrero, M.; Khabarov, N.; Obersteiner, M.

    2014-12-01

    Climate change might impact crop yields considerably and anticipated transformations of agricultural systems are needed in the coming decades to sustain affordable food provision. However, decision-making on transformational shifts in agricultural systems is plagued by uncertainties concerning the nature and geography of climate change, its impacts, and adequate responses. Locking agricultural systems into inadequate transformations costly to adjust is a significant risk and this acts as an incentive to delay action. It is crucial to gain insight into how much transformation is required from agricultural systems, how robust such strategies are, and how we can defuse the associated challenge for decision-making. While implementing a definition related to large changes in resource use into a global impact assessment modelling framework, we find transformational adaptations to be required of agricultural systems in most regions by 2050s in order to cope with climate change. However, these transformations widely differ across climate change scenarios: uncertainties in large-scale development of irrigation span in all continents from 2030s on, and affect two-thirds of regions by 2050s. Meanwhile, significant but uncertain reduction of major agricultural areas affects the Northern Hemisphere’s temperate latitudes, while increases to non-agricultural zones could be large but uncertain in one-third of regions. To help reducing the associated challenge for decision-making, we propose a methodology exploring which, when, where and why transformations could be required and uncertain, by means of scenario analysis.

  14. Nanotechnology Applications and Implications of Agrochemicals toward Sustainable Agriculture and Food Systems.

    PubMed

    Scott, Norman R; Chen, Hongda; Cui, Haixin

    2018-06-08

    The first international conference on Nanotechnology Applications and Implications of Agrochemicals toward Sustainable Agriculture and Food Systems was held in Beijing, China on November 17-18, 2016 to address and exchange latest knowledge and developments in nanotechnology of agrochemicals toward sustainable agriculture and food systems. World-leading scientists gathered to discuss a wide range of relevant topics. The purposes of this paper are to provide: an introduction to the international conference, summarize in brief the contributions of papers that follow within this special issue of Journal of Agricultural and Food Chemistry, provide a synthesis of conference outcomes, suggest future directions including an important role of converging science and technologies to advance sustainable agriculture, food, and natural resource systems.

  15. What good are unmanned aircraft systems for agricultural remote sensing and precision agriculture?

    USDA-ARS?s Scientific Manuscript database

    Civilian applications of unmanned aircraft systems (UAS, also called drones) are rapidly expanding into crop production. UAS acquire high spatial resolution remote sensing imagery that can be used three different ways in agriculture. One is to assist crop scouts looking for problems in crop fields....

  16. Agricultural Model for the Nile Basin Decision Support System

    NASA Astrophysics Data System (ADS)

    van der Bolt, Frank; Seid, Abdulkarim

    2014-05-01

    To analyze options for increasing food supply in the Nile basin the Nile Agricultural Model (AM) was developed. The AM includes state-of-the-art descriptions of biophysical, hydrological and economic processes and realizes a coherent and consistent integration of hydrology, agronomy and economics. The AM covers both the agro-ecological domain (water, crop productivity) and the economic domain (food supply, demand, and trade) and allows to evaluate the macro-economic and hydrological impacts of scenarios for agricultural development. Starting with the hydrological information from the NileBasin-DSS the AM calculates the available water for agriculture, the crop production and irrigation requirements with the FAO-model AquaCrop. With the global commodity trade model MAGNET scenarios for land development and conversion are evaluated. The AM predicts consequences for trade, food security and development based on soil and water availability, crop allocation, food demand and food policy. The model will be used as a decision support tool to contribute to more productive and sustainable agriculture in individual Nile countries and the whole region.

  17. Set Up of an Automatic Water Quality Sampling System in Irrigation Agriculture

    PubMed Central

    Heinz, Emanuel; Kraft, Philipp; Buchen, Caroline; Frede, Hans-Georg; Aquino, Eugenio; Breuer, Lutz

    2014-01-01

    We have developed a high-resolution automatic sampling system for continuous in situ measurements of stable water isotopic composition and nitrogen solutes along with hydrological information. The system facilitates concurrent monitoring of a large number of water and nutrient fluxes (ground, surface, irrigation and rain water) in irrigated agriculture. For this purpose we couple an automatic sampling system with a Wavelength-Scanned Cavity Ring Down Spectrometry System (WS-CRDS) for stable water isotope analysis (δ2H and δ18O), a reagentless hyperspectral UV photometer (ProPS) for monitoring nitrate content and various water level sensors for hydrometric information. The automatic sampling system consists of different sampling stations equipped with pumps, a switch cabinet for valve and pump control and a computer operating the system. The complete system is operated via internet-based control software, allowing supervision from nearly anywhere. The system is currently set up at the International Rice Research Institute (Los Baños, The Philippines) in a diversified rice growing system to continuously monitor water and nutrient fluxes. Here we present the system's technical set-up and provide initial proof-of-concept with results for the isotopic composition of different water sources and nitrate values from the 2012 dry season. PMID:24366178

  18. Automatic Positioning System of Small Agricultural Robot

    NASA Astrophysics Data System (ADS)

    Momot, M. V.; Proskokov, A. V.; Natalchenko, A. S.; Biktimirov, A. S.

    2016-08-01

    The present article discusses automatic positioning systems of agricultural robots used in field works. The existing solutions in this area have been analyzed. The article proposes an original solution, which is easy to implement and is characterized by high- accuracy positioning.

  19. Sustaining the Earth's watersheds, agricultural research data system

    USDA-ARS?s Scientific Manuscript database

    The USDA-ARS water resources program has developed a web-based data system, STEWARDS: Sustaining the Earth’s Watersheds, Agricultural Research Data System to support research that encompasses a broad range of topics such as water quality, hydrology, conservation, land use, and soils. The data syst...

  20. Farmers' Willingness to Adopt Conservation Agriculture: New Evidence from Lebanon.

    PubMed

    Chalak, Ali; Irani, Alexandra; Chaaban, Jad; Bashour, Issam; Seyfert, Karin; Smoot, Kaitlyn; Abebe, Gumataw Kifle

    2017-10-01

    With increasing food insecurity and climate change, conservation agriculture has emerged as a sustainable alternative to intensive conventional agriculture as a source of food supply. Yet the adoption rate of conservation agriculture is still low. Our paper analyses the factors affecting farmers' willingness to adopt conservation agriculture in Lebanon. The findings show that household characteristics-years of farming and farm size affect conservation agriculture adoption. However, household characteristics alone were insufficient to explain conservation agriculture adoption. We found that farming experience, information sources, frequency of irrigation, and severity of weed infestation in the past, participation in specific trainings, and farmers' perception about the long-term impact of conservation agriculture, were key determinants of conservation agriculture adoption. Our paper encourages policymakers to invest in conservation agriculture to overcome food insecurity and environmental changes affecting food systems in the Middle East. The paper also informs agribusiness firms to view conservation agriculture as a viable alternative to strengthen their business relationship with farmers in arid and semi-arid regions.

  1. Farmers' Willingness to Adopt Conservation Agriculture: New Evidence from Lebanon

    NASA Astrophysics Data System (ADS)

    Chalak, Ali; Irani, Alexandra; Chaaban, Jad; Bashour, Issam; Seyfert, Karin; Smoot, Kaitlyn; Abebe, Gumataw Kifle

    2017-10-01

    With increasing food insecurity and climate change, conservation agriculture has emerged as a sustainable alternative to intensive conventional agriculture as a source of food supply. Yet the adoption rate of conservation agriculture is still low. Our paper analyses the factors affecting farmers' willingness to adopt conservation agriculture in Lebanon. The findings show that household characteristics—years of farming and farm size affect conservation agriculture adoption. However, household characteristics alone were insufficient to explain conservation agriculture adoption. We found that farming experience, information sources, frequency of irrigation, and severity of weed infestation in the past, participation in specific trainings, and farmers' perception about the long-term impact of conservation agriculture, were key determinants of conservation agriculture adoption. Our paper encourages policymakers to invest in conservation agriculture to overcome food insecurity and environmental changes affecting food systems in the Middle East. The paper also informs agribusiness firms to view conservation agriculture as a viable alternative to strengthen their business relationship with farmers in arid and semi-arid regions.

  2. GBIS: the information system of the German Genebank

    PubMed Central

    Oppermann, Markus; Weise, Stephan; Dittmann, Claudia; Knüpffer, Helmut

    2015-01-01

    The German Federal ex situ Genebank of Agricultural and Horticultural Crop Species is the largest collection of its kind in the countries of the European Union and amongst the 10 largest collections worldwide. Beside its enormous scientific value as a safeguard of plant biodiversity, the plant genetic resources maintained are also of high importance for breeders to provide new impulses. The complex processes of managing such a collection are supported by the Genebank Information System (GBIS). GBIS is an important source of information for researchers and plant breeders, e.g. for identifying appropriate germplasm for breeding purposes. In addition, the access to genebank material as a sovereign task is also of high interest to the general public. Moreover, GBIS acts as a data source for global information systems, such as the Global Biodiversity Information Facility (GBIF) or the European Search Catalogue for Plant Genetic Resources (EURISCO). Database URL: http://gbis.ipk-gatersleben.de/ PMID:25953079

  3. Requirement analysis for the one-stop logistics management of fresh agricultural products

    NASA Astrophysics Data System (ADS)

    Li, Jun; Gao, Hongmei; Liu, Yuchuan

    2017-08-01

    Issues and concerns for food safety, agro-processing, and the environmental and ecological impact of food production have been attracted many research interests. Traceability and logistics management of fresh agricultural products is faced with the technological challenges including food product label and identification, activity/process characterization, information systems for the supply chain, i.e., from farm to table. Application of one-stop logistics service focuses on the whole supply chain process integration for fresh agricultural products is studied. A collaborative research project for the supply and logistics of fresh agricultural products in Tianjin was performed. Requirement analysis for the one-stop logistics management information system is studied. The model-driven business transformation, an approach uses formal models to explicitly define the structure and behavior of a business, is applied for the review and analysis process. Specific requirements for the logistic management solutions are proposed. Development of this research is crucial for the solution of one-stop logistics management information system integration platform for fresh agricultural products.

  4. Organizational Issues Involved in the Development and Operation of Farm Informational Systems for Modernizing Agriculture.

    ERIC Educational Resources Information Center

    Lionberger, Herbert F.

    The need for an information development system for farmers is discussed in this paper. Issues and alternatives are described in terms of the research-extension-teaching trinity, extension services, role combinations, specialist advisor issues, innovations, research orientation, reward structures, and information services. Information gathered in…

  5. Nanoagroparticles emerging trends and future prospect in modern agriculture system.

    PubMed

    Baker, Syed; Volova, Tatiana; Prudnikova, Svetlana V; Satish, S; Prasad M N, Nagendra

    2017-07-01

    Increment of technical knowledge has remarkably uplifted logical thinking among scientific communities to shape the theoretical concepts into near product-oriented research. The concept of nanotechnology has overwhelmed almost all forms of lives and has traded its applications in myriad fields. Despite rapid expansion of nanotechnology, sustainable competitions still do exist in the field of agriculture. In current scenario, agriculture is a manifestation demand to provide adequate nutrition for relentless growing global population. It is estimated that nearly one-third of the global crop production is destroyed annually. The loss owes to various stresses such as pest infestation, microbial pathogens, weeds, natural calamities, lack of soil fertility and much more. In order to overcome these limitations, various technological strategies are implemented but a majority of these have their own repercussions. Hence there is a scrawling progress on the evaluation of nanoparticles into agriculture sector which can reform the modern agricultural system. Applications of these nanomaterials can add tremendous value in the current scenario of a global food scarcity. Nanotechnology can address the adverse effects posed by the abundant use of chemical agrochemicals which are reported to cause biomagnification in an ecosystem. Based on these facts and consideration, present review envisages on nanoparticles as nanoherbicides, nanopesticides, onsite detection agro-pathogens and nanoparticles in post harvest management. The review also elucidates on the importance of nanoparticles in soil fertility, irrigation management and its influence on improving crop yield. With scanty reports available on nanotechnology in agriculture system, present review attributes toward developing nanoagroparticles as the future prospect which can give new facelift for existing agriculture system. Copyright © 2017 Elsevier B.V. All rights reserved.

  6. REPHLEX II: An information management system for the ARS Water Data Base

    NASA Astrophysics Data System (ADS)

    Thurman, Jane L.

    1993-08-01

    The REPHLEX II computer system is an on-line information management system which allows scientists, engineers, and other researchers to retrieve data from the ARS Water Data Base using asynchronous communications. The system features two phone lines handling baud rates from 300 to 2400, customized menus to facilitate browsing, help screens, direct access to information and data files, electronic mail processing, file transfers using the XMODEM protocol, and log-in procedures which capture information on new users, process passwords, and log activity for a permanent audit trail. The primary data base on the REPHLEX II system is the ARS Water Data Base which consists of rainfall and runoff data from experimental agricultural watersheds located in the United States.

  7. Systems Biology for Smart Crops and Agricultural Innovation: Filling the Gaps between Genotype and Phenotype for Complex Traits Linked with Robust Agricultural Productivity and Sustainability

    PubMed Central

    Pathak, Rajesh Kumar; Gupta, Sanjay Mohan; Gaur, Vikram Singh; Pandey, Dinesh

    2015-01-01

    Abstract In recent years, rapid developments in several omics platforms and next generation sequencing technology have generated a huge amount of biological data about plants. Systems biology aims to develop and use well-organized and efficient algorithms, data structure, visualization, and communication tools for the integration of these biological data with the goal of computational modeling and simulation. It studies crop plant systems by systematically perturbing them, checking the gene, protein, and informational pathway responses; integrating these data; and finally, formulating mathematical models that describe the structure of system and its response to individual perturbations. Consequently, systems biology approaches, such as integrative and predictive ones, hold immense potential in understanding of molecular mechanism of agriculturally important complex traits linked to agricultural productivity. This has led to identification of some key genes and proteins involved in networks of pathways involved in input use efficiency, biotic and abiotic stress resistance, photosynthesis efficiency, root, stem and leaf architecture, and nutrient mobilization. The developments in the above fields have made it possible to design smart crops with superior agronomic traits through genetic manipulation of key candidate genes. PMID:26484978

  8. Development of an Integrated Wastewater Treatment System/water reuse/agriculture model

    NASA Astrophysics Data System (ADS)

    Fox, C. H.; Schuler, A.

    2017-12-01

    Factors like increasing population, urbanization, and climate change have made the management of water resources a challenge for municipalities. By understanding wastewater recycling for agriculture in arid regions, we can expand the supply of water to agriculture and reduce energy use at wastewater treatment plants (WWTPs). This can improve management decisions between WWTPs and water managers. The objective of this research is to develop a prototype integrated model of the wastewater treatment system and nearby agricultural areas linked by water and nutrients, using the Albuquerque Southeast Eastern Reclamation Facility (SWRF) and downstream agricultural system as a case study. Little work has been done to understand how such treatment technology decisions affect the potential for water ruse, nutrient recovery in agriculture, overall energy consumption and agriculture production and water quality. A holistic approach to understanding synergies and tradeoffs between treatment, reuse, and agriculture is needed. For example, critical wastewater treatment process decisions include options to nitrify (oxidize ammonia), which requires large amounts of energy, to operate at low dissolved oxygen concentrations, which requires much less energy, whether to recover nitrogen and phosphorus, chemically in biosolids, or in reuse water for agriculture, whether to generate energy from anaerobic digestion, and whether to develop infrastructure for agricultural reuse. The research first includes quantifying existing and feasible agricultural sites suitable for irrigation by reuse wastewater as well as existing infrastructure such as irrigation canals and piping by using GIS databases. Second, a nutrient and water requirement for common New Mexico crop is being determined. Third, a wastewater treatment model will be utilized to quantify energy usage and nutrient removal under various scenarios. Different agricultural reuse sensors and treatment technologies will be explored. The

  9. Representing agriculture in Earth System Models: Approaches and priorities for development

    NASA Astrophysics Data System (ADS)

    McDermid, S. S.; Mearns, L. O.; Ruane, A. C.

    2017-09-01

    Earth System Model (ESM) advances now enable improved representations of spatially and temporally varying anthropogenic climate forcings. One critical forcing is global agriculture, which is now extensive in land-use and intensive in management, owing to 20th century development trends. Agriculture and food systems now contribute nearly 30% of global greenhouse gas emissions and require copious inputs and resources, such as fertilizer, water, and land. Much uncertainty remains in quantifying important agriculture-climate interactions, including surface moisture and energy balances and biogeochemical cycling. Despite these externalities and uncertainties, agriculture is increasingly being leveraged to function as a net sink of anthropogenic carbon, and there is much emphasis on future sustainable intensification. Given its significance as a major environmental and climate forcing, there now exist a variety of approaches to represent agriculture in ESMs. These approaches are reviewed herein, and range from idealized representations of agricultural extent to the development of coupled climate-crop models that capture dynamic feedbacks. We highlight the robust agriculture-climate interactions and responses identified by these modeling efforts, as well as existing uncertainties and model limitations. To this end, coordinated and benchmarking assessments of land-use-climate feedbacks can be leveraged for further improvements in ESM's agricultural representations. We suggest key areas for continued model development, including incorporating irrigation and biogeochemical cycling in particular. Last, we pose several critical research questions to guide future work. Our review focuses on ESM representations of climate-surface interactions over managed agricultural lands, rather than on ESMs as an estimation tool for crop yields and productivity.

  10. 77 FR 24225 - Information Collection Approval; Temporary Non-Agricultural Employment of H-2B Aliens in the...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-04-23

    ... DEPARTMENT OF LABOR Employment and Training Administration Information Collection Approval; Temporary Non-Agricultural Employment of H-2B Aliens in the United States AGENCY: Employment and Training... the Temporary Non-Agricultural Employment of H-2B Aliens in the United States; Final Rule. See 77 FR...

  11. Study on Web-Based Tool for Regional Agriculture Industry Structure Optimization Using Ajax

    NASA Astrophysics Data System (ADS)

    Huang, Xiaodong; Zhu, Yeping

    According to the research status of regional agriculture industry structure adjustment information system and the current development of information technology, this paper takes web-based regional agriculture industry structure optimization tool as research target. This paper introduces Ajax technology and related application frameworks to build an auxiliary toolkit of decision support system for agricultural policy maker and economy researcher. The toolkit includes a “one page” style component of regional agriculture industry structure optimization which provides agile arguments setting method that enables applying sensitivity analysis and usage of data and comparative advantage analysis result, and a component that can solve the linear programming model and its dual problem by simplex method.

  12. Successes and challenges in a novel doctoral program in systems agriculture: a case example.

    PubMed

    Lust, D; Topliff, D; Deotte, R

    2010-01-01

    A doctoral program in Systems Agriculture was initiated at West Texas A&M University, Canyon, TX, in September, 2003. The stated objective of the program was "..to prepare leaders for the agricultural industry that are trained in a multidisciplinary, research-based curriculum that emphasizes a systems approach to problem solving". The program offers a single doctoral degree in Agriculture and accepts qualified students with a master's or professional degree in agricultural or related disciplines. Courses related to systems methodologies, leadership, agricultural economics, plant and soil science, and animal science are required. Additional program requirements include a systems research project and dissertation, leadership training, and written and oral exams. The program has exceeded enrollment and graduation targets, suggesting interest in this approach to a doctoral degree. Students have entered the program with M.S. backgrounds in education, traditional agricultural disciplines, veterinary medicine, business, and physics. Graduates have gained employment in industry, university teaching and research, government research/administration, and extension. Doctoral student projects in systems agriculture contributed to curriculum changes and to the conceptual framework adopted by a multi-state research group. Designing and teaching courses for students with diverse backgrounds has been challenging. Development of a common understanding of systems agriculture was identified by a third-party program review as an issue for faculty. Development and maintenance of program standards and administrative procedures posed additional challenges. Leadership, administrative support, and timely and continuing program assessment are suggested as necessary components for a nontraditional doctoral program.

  13. An integrated approach to monitoring ecosystem services and agriculture: implications for sustainable agricultural intensification in Rwanda.

    PubMed

    Rosa, Melissa F; Bonham, Curan A; Dempewolf, Jan; Arakwiye, Bernadette

    2017-01-01

    Maintaining the long-term sustainability of human and natural systems across agricultural landscapes requires an integrated, systematic monitoring system that can track crop productivity and the impacts of agricultural intensification on natural resources. This study presents the design and practical implementation of a monitoring framework that combines satellite observations with ground-based biophysical measurements and household surveys to provide metrics on ecosystem services and agricultural production at multiple spatial scales, reaching from individual households and plots owned by smallholder farmers to 100-km 2 landscapes. We developed a set of protocols for monitoring and analyzing ecological and agricultural household parameters within two 10 × 10-km landscapes in Rwanda, including soil fertility, crop yield, water availability, and fuelwood sustainability. Initial results suggest providing households that rely on rainfall for crop irrigation with timely climate information and improved technical inputs pre-harvest could help increase crop productivity in the short term. The value of the monitoring system is discussed as an effective tool for establishing a baseline of ecosystem services and agriculture before further change in land use and climate, identifying limitations in crop production and soil fertility, and evaluating food security, economic development, and environmental sustainability goals set forth by the Rwandan government.

  14. National Agricultural Library | United States Department of Agriculture

    Science.gov Websites

    Skip to main content Home National Agricultural Library United States Department of Agriculture Ag is a data access system maintained by the US Department of Agriculture's (USDA) National Agricultural websites. The Ag Data Commons provides access to a wide variety of open data relevant to agricultural

  15. Mobile Digital Applications for Farmers to Transform Agriculture Statistics from the Bottom Up

    NASA Astrophysics Data System (ADS)

    Brown, M. E.; Grace, K.; Sahajpal, R.; Nagol, J. R.

    2017-12-01

    As the global population continues to grow and become more wealthy, the amount of food humanity consumes should also grow, particularly in low income countries that are currently consuming significantly less per capita than is optimal. Reducing yield gaps in low income regions can increase overall agricultural production and pull populations conducting subsistence agriculture in rural areas out of poverty. Investment in the transformation of agricultural value chain to include low income farmers can have significant positive impacts on communities and individuals participating, as well as the resilience of the food system itself. A major obstacle to improving the effectiveness of policies and interventions in the rural agriculture sector is a lack of information about the socio-economic, agricultural production and environmental conditions experienced by farmers as they participate in agriculture. There is a significant lack of high quality statistics that can be used to develop effective agricultural development programs. In today's world of online mapping software, accurate global positioning systems that allow instant, affordable location retrieval and growing mobile connectivity, what is needed is community- or even field-level information. Given the enormous geographic, economic and cultural diversity of even small countries, why settle for national statistics? The kind of information that is needed is at the field and farmer level, not the country level. This paper reviews ways geospatial and information technology can be used to generate farmer-specific information across all countries participating in agriculture.

  16. Using a Decision Support System to Optimize Production of Agricultural Crop Residue Biofeedstock

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Reed L. Hoskinson; Ronald C. Rope; Raymond K. Fink

    2007-04-01

    For several years the Idaho National Laboratory (INL) has been developing a Decision Support System for Agriculture (DSS4Ag) which determines the economically optimum recipe of various fertilizers to apply at each site in a field to produce a crop, based on the existing soil fertility at each site, as well as historic production information and current prices of fertilizers and the forecast market price of the crop at harvest, for growing a crop such as wheat, potatoes, corn, or cotton. In support of the growing interest in agricultural crop residues as a bioenergy feedstock, we have extended the capability ofmore » the DSS4Ag to develop a variable-rate fertilizer recipe for the simultaneous economically optimum production of both grain and straw, and have been conducting field research to test this new DSS4Ag. In this paper we report the results of two years of field research testing and enhancing the DSS4Ag’s ability to economically optimize the fertilization for the simultaneous production of both grain and its straw, where the straw is an agricultural crop residue that can be used as a biofeedstock.« less

  17. Agricultural biodiversity, social-ecological systems and sustainable diets.

    PubMed

    Allen, Thomas; Prosperi, Paolo; Cogill, Bruce; Flichman, Guillermo

    2014-11-01

    The stark observation of the co-existence of undernourishment, nutrient deficiencies and overweight and obesity, the triple burden of malnutrition, is inviting us to reconsider health and nutrition as the primary goal and final endpoint of food systems. Agriculture and the food industry have made remarkable advances in the past decades. However, their development has not entirely fulfilled health and nutritional needs, and moreover, they have generated substantial collateral losses in agricultural biodiversity. Simultaneously, several regions are experiencing unprecedented weather events caused by climate change and habitat depletion, in turn putting at risk global food and nutrition security. This coincidence of food crises with increasing environmental degradation suggests an urgent need for novel analyses and new paradigms. The sustainable diets concept proposes a research and policy agenda that strives towards a sustainable use of human and natural resources for food and nutrition security, highlighting the preeminent role of consumers in defining sustainable options and the importance of biodiversity in nutrition. Food systems act as complex social-ecological systems, involving multiple interactions between human and natural components. Nutritional patterns and environment structure are interconnected in a mutual dynamic of changes. The systemic nature of these interactions calls for multidimensional approaches and integrated assessment and simulation tools to guide change. This paper proposes a review and conceptual modelling framework that articulate the synergies and tradeoffs between dietary diversity, widely recognised as key for healthy diets, and agricultural biodiversity and associated ecosystem functions, crucial resilience factors to climate and global changes.

  18. Reducing agricultural greenhouse gas emissions: role of biotechnology, organic systems, and consumer behavior

    USDA-ARS?s Scientific Manuscript database

    All agricultural systems have environmental and societal costs and benefits that should be objectively quantified before recommending specific management practices. Agricultural biotechnology, which takes advantage of genetically engineered organisms (GEOs), along with organic cropping systems, econ...

  19. Market assessment of photovoltaic power systems for agricultural applications in the Philippines

    NASA Technical Reports Server (NTRS)

    Cabraal, R. A.; Delasanta, D.; Burrill, G.

    1981-01-01

    The market potential in the Philippines for stand alone photovoltaic (P/V) systems in agriculture was assessed. Applications include: irrigation, postharvest operation, food and fiber processing and storage, and livestock and fisheries operations. Power and energy use profiles for many applications as well as assessments of business, government and financial climate for P/V sales are described. Many characteristics of the Philippine agriculture and energy sector favorably influence the use of P/V systems. However, serious and significant barriers prevent achieving the technically feasible, cost competitive market for P/V systems in the agricultural sector. The reason for the small market is the limited availability capital for financing P/V systems. It is suggested that innovative financing schemes and promotional campaigns should be devised.

  20. Market assessment of photovoltaic power systems for agricultural applications in the Philippines

    NASA Astrophysics Data System (ADS)

    Cabraal, R. A.; Delasanta, D.; Burrill, G.

    1981-04-01

    The market potential in the Philippines for stand alone photovoltaic (P/V) systems in agriculture was assessed. Applications include: irrigation, postharvest operation, food and fiber processing and storage, and livestock and fisheries operations. Power and energy use profiles for many applications as well as assessments of business, government and financial climate for P/V sales are described. Many characteristics of the Philippine agriculture and energy sector favorably influence the use of P/V systems. However, serious and significant barriers prevent achieving the technically feasible, cost competitive market for P/V systems in the agricultural sector. The reason for the small market is the limited availability capital for financing P/V systems. It is suggested that innovative financing schemes and promotional campaigns should be devised.

  1. Fast Tracking Data to Informed Decisions: An Advanced Information System to Improve Environmental Understanding and Management (Invited)

    NASA Astrophysics Data System (ADS)

    Minsker, B. S.; Myers, J.; Liu, Y.; Bajcsy, P.

    2010-12-01

    Emerging sensing and information technology are rapidly creating a new paradigm for environmental research and management, in which data from multiple sensors and information sources can guide real-time adaptive observation and decision making. This talk will provide an overview of emerging cyberinfrastructure and three case studies that illustrate their potential: combined sewer overflows in Chicago, hypoxia in Corpus Christi Bay, Texas, and sustainable agriculture in Illinois. An advanced information system for real-time decision making and visual geospatial analytics will be presented as an example of cyberinfrastructure that enables easier implementation of numerous real-time applications.

  2. An Evaluation of a Computer-Based Videotext Information Delivery System for Farmers: The Green Thumb Project.

    ERIC Educational Resources Information Center

    Warner, Paul D.; Clearfield, Frank

    The Green Thumb Project was designed to test the feasibility of operating a computerized system for disseminating weather, market, and other agricultural production and management information on a day-to-day basis; to develop a prototype software support system for the test; and to provide essential project information on conduct of the test to…

  3. Online hyperspectral imaging system for evaluating quality of agricultural products

    NASA Astrophysics Data System (ADS)

    Mo, Changyeun; Kim, Giyoung; Lim, Jongguk

    2017-06-01

    The consumption of fresh-cut agricultural produce in Korea has been growing. The browning of fresh-cut vegetables that occurs during storage and foreign substances such as worms and slugs are some of the main causes of consumers' concerns with respect to safety and hygiene. The purpose of this study is to develop an on-line system for evaluating quality of agricultural products using hyperspectral imaging technology. The online evaluation system with single visible-near infrared hyperspectral camera in the range of 400 nm to 1000 nm that can assess quality of both surfaces of agricultural products such as fresh-cut lettuce was designed. Algorithms to detect browning surface were developed for this system. The optimal wavebands for discriminating between browning and sound lettuce as well as between browning lettuce and the conveyor belt were investigated using the correlation analysis and the one-way analysis of variance method. The imaging algorithms to discriminate the browning lettuces were developed using the optimal wavebands. The ratio image (RI) algorithm of the 533 nm and 697 nm images (RI533/697) for abaxial surface lettuce and the ratio image algorithm (RI533/697) and subtraction image (SI) algorithm (SI538-697) for adaxial surface lettuce had the highest classification accuracies. The classification accuracy of browning and sound lettuce was 100.0% and above 96.0%, respectively, for the both surfaces. The overall results show that the online hyperspectral imaging system could potentially be used to assess quality of agricultural products.

  4. Toward malaysian sustainable agriculture in 21st century

    NASA Astrophysics Data System (ADS)

    Khorramnia, K.; Shariff, A. R. M.; Rahim, A. Abdul; Mansor, S.

    2014-02-01

    Sustainable agriculture should be able to meet various social goals and objectives so that it can be maintained for an indefinite period without significant negative impacts on environment and natural resources. A wide variety of agricultural activities are running in Malaysia. Maintaining high quality of agricultural products with lower environmental impacts through a sustainable economic viability and life satisfaction of farmers and community are important factors helping to meet sustainable agriculture. Human resources are playing key role in directing the community toward sustainable development. The trend of improving the human development index in Malaysia is highest in the East Asia and the Pacific, high human development countries and the world, since 2000. Precision agriculture is providing strong tools to achieve sustainable agriculture. Different types of sensors, positioning and navigation systems, GIS, software and variable rate technology are well known components of precision agriculture. Drones and robots are promising tools that enabling farmers and managers to collect information or perform particular actions in remote areas or tough conditions. According to a survey, forestry and timber, rubber production and oil palm estates are three main agricultural divisions that precision agriculture may improve the productivity in respect to area of cropland/worker. Main factors affecting the adoption of precision agriculture in Malaysia are: a) Political and legal supports, b) Decision support systems and user interfaces c) Experienced research team works d) National educational policy e) Success in commercialization of precision agriculture system.

  5. Efficacy of Indexing and Abstracting Services for the Dissemination of Agricultural Information Resources in the Institure for Agricultural Research Library, Ahmadu Bello University, Zaria

    NASA Astrophysics Data System (ADS)

    Gabriel, KASA, M.

    2012-10-01

    The efficacy of Indexing and Abstracting service for effective organization, storage and retrieval of information resources for agricultural research in Ahmadu Bello University, Zaria necessitated examining the situation in Agricultural Library, Institute for Agricultural Research, Samaru. The study examines the processes, awareness and problems militating against the effective exploitation of the indexing and abstracting services in the Agricultural library established in 1975. The study was conducted ex post facto, data collected span from 2006 ñ 2010. Total sample sizes of 752 patrons and 20,236 intellectually indexed and abstracted resources were involved in the study. Data collected were subjected to descriptive and inferential statistics. The result revealed that a total of 644 articles were indexed and abstracted, 35% of these was done in 2010. Results for awareness show 452 (60.11%) to be aware in 2008. A total 584 articles were indexed and abstracted from which 167 (28.59%) was retrieved in 2006. Patrons, 270 (35.90%) attributed the poor use of the service to assumption it is a referral unit. The hypothesis testing revealed that there is significant association between articles indexed and abstracted with information consulted by patrons (?2cal,100.31>?2tab,9.488) at 5% level of probability and df, 4. In conclusion, enormous documents on Nigerian agriculture are indexed and abstracted in the unit, implying that the service is desirous and consistent. The study recommends that the unit should explore the use of modern technology, employ a permanent subject specialist, train and retrain the unit staff as well as intensify it general orientation campaigns to focus on awareness and use of the indexing and abstracting services.

  6. Integrated Systems Mitigate Land Degradation and Improve Agricultural System Sustainability

    NASA Astrophysics Data System (ADS)

    Landblom, Douglas; Senturklu, Songul; Cihacek, Larry; Brevik, Eric

    2017-04-01

    Rain-fed agricultural production supported by exogenous inputs is not sustainable because a continuous influx of expensive inputs (fertilizer, chemicals, fossil fuel, labor, tillage, and other) is required. Alternatives to traditional management allow natural occurring dynamic soil processes to provide the necessary microbial activity that supports nutrient cycling in balance with nature. Research designed to investigate the potential for integrated systems to replace expensive inputs has shown that healthy soils rich in soil organic matter (SOM) are the foundation upon which microbial nutrient cycling can reduce and eventually replace expensive fertilizer. No-till seed placement technology effectively replaces multiple-pass cultivation conserving stored soil water in semi-arid farming systems. In multi-crop rotations, cool- and warm-season crops are grown in sequence to meet goals of the integrated farming and ranching system, and each crop in the rotation complements the subsequent crop by supplying a continuous flow of essential SOM for soil nutrient cycling. Grazing animals serve an essential role in the system's sustainability as non-mechanized animal harvesters that reduce fossil fuel consumption and labor, and animal waste contributes soil nutrients to the system. Integrated systems' complementarity has contributed to greater soil nutrient cycling and crop yields, fertilizer reduction or elimination, greater yearling steer grazing net return, reduced cow wintering costs grazing crop residues, increased wildlife sightings, and reduced environmental footprint. Therefore, integrating crop and animal systems can reverse soil quality decline and adopting non-traditional procedures has resulted in a wider array of opportunities for sustainable agriculture and profitability.

  7. Analysis and Design of the Innovation and Entrepreneurship Training Management System based on School Enterprise Cooperation (Taking the School of Computer and Information Engineering of Beijing University of Agriculture as an example)

    NASA Astrophysics Data System (ADS)

    Qianyi, Zhang; Xiaoshun, Li; Ping, Hu; Lu, Ning

    2018-03-01

    With the promotion of undergraduate training mode of “3+1” in Beijing University of Agriculture, the mode and direction of applied and compound talents training should be further visualized, at the same time, in order to make up for the shortage of Double Teachers in the school and the lack of teaching cases that cover the advanced technology in the industry, the school actively encourages the cooperation between the two teaching units and enterprises, and closely connects the enterprise resources with the school teaching system, using the “1” in “3+1” to carry out innovative training work for students. This method is beneficial for college students to integrate theory into practice and realize the purpose of applying knowledge in Higher Education. However, in the actual student training management, this kind of cooperation involves three party units and personnel, so it is difficult to form a unified management, on the other hand, it may also result from poor communication, which leads to unsatisfactory training results. At the same time, there is no good training supervision mechanism, causes the student training work specious. To solve the above problem,this paper designs a training management system of student innovation and Entrepreneurship Based on school enterprise cooperation,the system can effectively manage the relevant work of students’ training, and effectively solve the above problems. The subject is based on the training of innovation and entrepreneurship in the school of computer and information engineering of Beijing University of Agriculture. The system software architecture is designed using B/S architecture technology, the system is divided into three layers, the application of logic layer includes student training management related business, and realized the user’s basic operation management for student training, users can not only realize the basic information management of enterprises, colleges and students through the system

  8. A Food Systems Approach To Healthy Food And Agriculture Policy.

    PubMed

    Neff, Roni A; Merrigan, Kathleen; Wallinga, David

    2015-11-01

    Food has become a prominent focus of US public health policy. The emphasis has been almost exclusively on what Americans eat, not what is grown or how it is grown. A field of research, policy, and practice activities addresses the food-health-agriculture nexus, yet the work is still often considered "alternative" to the mainstream. This article outlines the diverse ways in which agriculture affects public health. It then describes three policy issues: farm-to-school programming, sustainability recommendations in the Dietary Guidelines for Americans, and antibiotic use in animal agriculture. These issues illustrate the progress, challenges, and public health benefits of taking a food systems approach that brings together the food, agriculture, and public health fields. Project HOPE—The People-to-People Health Foundation, Inc.

  9. Elaboration of the Soil Degradation Subsystem of the National Environmental Information System in Hungary

    NASA Astrophysics Data System (ADS)

    Szabó, József; Pásztor, László; Dombos, Miklós; Bakacsi, Zsófia; Laborczi, Annamária; Pirkó, Béla; Szabóné Kele, Gabriella

    2010-05-01

    A successful proposal within the Environment and Energy Operational Programme for informatics development aimed at environmental protection in public administration (e-environmental protection) opened the feasibility of a program for the establishment of a national soil monitoring system for the follow up of the harmful changes in soil conditions and functioning. The aim of the project is to collect, manage, analyse and publish soil data related to the state of soils and the environmental stresses attributed to the pressures due to agriculture setting up an appropriate information system in order to fulfil the directives of the Thematic Strategy for Soil Protection. Further objective is the web-based publication of soil data as well as information to support the related public service mission and to inform publicity. The developed information system will operate as the Soil Degradation Subsystem of the National Environmental Information System being compatible with its other elements. A suitable representative sampling method will be elaborated. The representativity is meant for soil associations, landuse, agricultural practices and typical degradation processes. Soil data will be collected on county levels led by regional representatives but altogether will be representative for the whole territory of Hungary. In our present paper the scheme and conceptual model of the system is presented in the hope of getting useful criticism and ideas from the session participants, which can be built into the system before the project starts in this summer.

  10. Useful to Usable (U2U): Transforming climate information into usable tools to support Midwestern agricultural production

    NASA Astrophysics Data System (ADS)

    Prokopy, L. S.; Widhalm, M.

    2014-12-01

    There is a close connection between weather and climate patterns and successful agricultural production. Therefore, incorporating climate information into farm management is likely to reduce the risk of economic losses and increase profitability. While weather and climate information is becoming ever more abundant and accessible, the use of such information in the agricultural community remains limited. Useful to Usable (U2U): Transforming Climate Variability and Change Information for Cereal Crop Producers is a USDA-NIFA funded research and extension project focused on improving the use of climate information for agricultural production in the Midwestern United States by developing user-driven decision tools and training resources. The U2U team is a diverse and uniquely qualified group of climatologists, crop modelers, agronomists, and social scientists from 9 Midwestern universities and two NOAA Regional Climate Centers. Together, we strive to help producers make better long-term plans on what, when and where to plant and also how to manage crops for maximum yields and minimum environmental damage. To ensure relevance and usability of U2U products, our social science team is using a number of techniques including surveys and focus groups to integrate stakeholder interests, needs, and concerns into all aspects of U2U research. It is through this coupling of physical and social science disciplines that we strive to transform existing climate information into actionable knowledge.

  11. Land Use Planning Exercise Using Geographic Information Systems and Digital Soil Surveys

    ERIC Educational Resources Information Center

    Stout, Heidi M.; Lee, Brad D.

    2004-01-01

    Geographic information system (GIS) technology has become a valuable tool for environmental science professionals. By incorporating GIS into college-level course curricula, agricultural students become better qualified for employment opportunities. We have developed a case study-based laboratory exercise that introduces students to GIS and the…

  12. Data and monitoring needs for a more ecological agriculture

    NASA Astrophysics Data System (ADS)

    Zaks, David P. M.; Kucharik, Christopher J.

    2011-01-01

    Information on the life-cycle environmental impacts of agricultural production is often limited. As demands grow for increasing agricultural output while reducing its negative environmental impacts, both existing and novel data sources can be leveraged to provide more information to producers, consumers, scientists and policy makers. We review the components and organization of an agroecological sensor web that integrates remote sensing technologies and in situ sensors with models in order to provide decision makers with effective management options at useful spatial and temporal scales for making more informed decisions about agricultural productivity while reducing environmental burdens. Several components of the system are already in place, but by increasing the extent and accessibility of information, decision makers will have the opportunity to enhance food security and environmental quality. Potential roadblocks to implementation include farmer acceptance, data transparency and technology deployment.

  13. Co-Adapting Water Demand and Supply to Changing Climate in Agricultural Water Systems, A Case Study in Northern Italy

    NASA Astrophysics Data System (ADS)

    Giuliani, M.; Li, Y.; Mainardi, M.; Arias Munoz, C.; Castelletti, A.; Gandolfi, C.

    2013-12-01

    Exponentially growing water demands and increasing uncertainties in the hydrologic cycle due to changes in climate and land use will challenge water resources planning and management in the next decade. Improving agricultural productivity is particularly critical, being this sector the one characterized by the highest water demand. Moreover, to meet projected growth in human population and per-capita food demand, agricultural production will have to significantly increase in the next decades, even though water availability is expected to decrease due to climate change impacts. Agricultural systems are called to adapt their strategies (e.g., changing crop patterns and the corresponding water demand, or maximizing the efficiency in the water supply modifying irrigation scheduling and adopting high efficiency irrigation techniques) in order to re-optimize the use of limited water resources. Although many studies have assessed climate change impacts on agricultural practices and water management, most of them assume few scenarios of water demand or water supply separately, while an analysis of their reciprocal feedbacks is still missing. Moreover, current practices are generally established according to historical agreements and normative constraints and, in the absence of dramatic failures, the shift toward more efficient water management is not easily achievable. In this work, we propose to activate an information loop between farmers and water managers to improve the effectiveness of agricultural water management practices by matching the needs of the farmers with the design of water supply strategies. The proposed approach is tested on a real-world case study, namely the Lake Como serving the Muzza-Bassa Lodigiana irrigation district (Italy). A distributed-parameter, dynamic model of the system allows to simulate crop growth and the final yield over a range of hydro-climatic conditions, irrigation strategies and water-related stresses. The spatial component of the

  14. Reduction of solids and nutrient loss from agricultural land by tailwater recovery systems

    USGS Publications Warehouse

    Omer, A.R.; Miranda, Leandro E.; Moore, M. T.; Krutz, L. J.; Prince Czarnecki, J. M.; Kröger, R.; Baker, B. H.; Hogue, J.; Allen, P. J.

    2018-01-01

    Best management practices are being implemented throughout the Lower Mississippi River Alluvial Valley with the aim of alleviating pressures placed on downstream aquatic systems by sediment and nutrient losses from agricultural land; however, research evaluating the performance of tailwater recovery (TWR) systems, an increasingly important practice, is limited. This study evaluated the ability of TWR systems to retain sediment and nutrients draining from agricultural landscapes. Composite flow-based samples were collected during flow events (precipitation or irrigation) over a two-year period in six TWR systems. Performance was evaluated by comparing concentrations and loads in water entering TWR systems (i.e., runoff or influent) from agricultural fields to water overflow exiting TWR systems (effluent). Tailwater recovery systems did not reduce concentrations of solids and nutrients, but did reduce loads of solids, phosphorus (P), and nitrogen (N) by 43%, 32%, and 44%, respectively. Annual mean load reductions were 1,142 kg solids, 0.7 kg of P, and 3.8 kg of N. Performance of TWR systems was influenced by effluent volume, system fullness, time since the previous event, and capacity of the TWR system. Mechanistically, TWR systems retain runoff on the agricultural landscape, thereby reducing the amount of sediment and nutrients entering downstream waterbodies. System performance can be improved through manipulation of influential parameters.

  15. [Integrated evaluation of circular agriculture system: a life cycle perspective].

    PubMed

    Liang, Long; Chen, Yuan-Quan; Gao, Wang-Sheng

    2010-11-01

    For the point of view that recycling economy system is one of ways to achieve the low-carbon economy, we have made an evaluation on a typical circular agriculture duck industry in Hunan Province, China, through improving the framework of life cycle assessment (LCA). The analysis indicated that the consumption of non-renewable resources, land and water were 48.629 MJ, 2.36 m2 and 1 321.41 kg, while the potential greenhouse gas (GHGs), acidification, eutrophication, human toxicity, freshwater ecotoxicity and terrestrial ecotoxicity were 11 543.26 g (CO2 eq), 52.36g (SO2eq), 25.83g (PO4eq), 1.26, 60.74 and 24.65 g (1,4-DCBeq), respectively. The potential damage of aquatic eutrophication, freshwater ecotoxicity and terrestrial ecotoxicity was more serious than that of GHGs. Main results were following: i. the circular agricultural chain promoted the principle of "moderate circulation", which based on the traditional production methods; ii. circular agriculture could not blindly pursue low carbon development. Instead, soil and biological carbon sequestration should be considered, in addition to reducing carbon emissions; iii. circular economy and circular agriculture should take other potential environmental impacts into account such as acidification, eutrophication and ecotoxicity,with the exception to carbon emissions,to developed integrated system assessment; iv. LCA could provide a comprehensive assessment of circular agriculture, and it was worth of further study.

  16. [Development of APSIM (agricultural production systems simulator) and its application].

    PubMed

    Shen, Yuying; Nan, Zhibiao; Bellotti, Bill; Robertson, Michael; Chen, Wen; Shao, Xinqing

    2002-08-01

    Soil-crop simulator model is an effective tool for providing decision on agricultural management. APSIM (Agricultural Production Systems Simulator) was developed to simulate the biophysical process in farming system, and particularly in the economic and ecological features of the systems under climatic risk. The current literatures revealed that APSIM could be applied in wide zone, including temperate continental, temperate maritime, sub-tropic and arid climate, and Mediterranean climates, with the soil type of clay, duplex soil, vertisol, silt sandy, silt loam and silt clay loam. More than 20 crops have been simulated well. APSIM is powerful on describing crop structure, crop sequence, yield prediction, and quality control as well as erosion estimation under different planting pattern.

  17. An agricultural survey for more than 9,500 African households

    PubMed Central

    Waha, Katharina; Zipf, Birgit; Kurukulasuriya, Pradeep; Hassan, Rashid M.

    2016-01-01

    Surveys for more than 9,500 households were conducted in the growing seasons 2002/2003 or 2003/2004 in eleven African countries: Burkina Faso, Cameroon, Ghana, Niger and Senegal in western Africa; Egypt in northern Africa; Ethiopia and Kenya in eastern Africa; South Africa, Zambia and Zimbabwe in southern Africa. Households were chosen randomly in districts that are representative for key agro-climatic zones and farming systems. The data set specifies farming systems characteristics that can help inform about the importance of each system for a country’s agricultural production and its ability to cope with short- and long-term climate changes or extreme weather events. Further it informs about the location of smallholders and vulnerable systems and permits benchmarking agricultural systems characteristics. PMID:27218890

  18. Denitrification 'Woodchip' Bioreactors for Productive and Sustainable Agricultural Systems

    NASA Astrophysics Data System (ADS)

    Christianson, L. E.; Summerfelt, S.; Sharrer, K.; Lepine, C.; Helmers, M. J.

    2014-12-01

    Growing alarm about negative cascading effects of reactive nitrogen in the environment has led to multifaceted efforts to address elevated nitrate-nitrogen levels in water bodies worldwide. The best way to mitigate N-related impacts, such as hypoxic zones and human health concerns, is to convert nitrate to stable, non-reactive dinitrogen gas through the natural process of denitrification. This means denitrification technologies need to be one of our major strategies for tackling the grand challenge of managing human-induced changes to our global nitrogen cycle. While denitrification technologies have historically been focused on wastewater treatment, there is great interest in new lower-tech options for treating effluent and drainage water from one of our largest reactive nitrogen emitters -- agriculture. Denitrification 'woodchip' bioreactors are able to enhance this natural N-conversion via addition of a solid carbon source (e.g., woodchips) and through designs that facilitate development of anoxic conditions required for denitrification. Wood-based denitrification technologies such as woodchip bioreactors and 'sawdust' walls for groundwater have been shown to be effective at reducing nitrate loads in agricultural settings around the world. Designing these systems to be low-maintenance and to avoid removing land from agricultural production has been a primary focus of this "farmer-friendly" technology. This presentation provides a background on woodchip bioreactors including design considerations, N-removal performance, and current research worldwide. Woodchip bioreactors for the agricultural sector are an accessible new option to address society's interest in improving water quality while simultaneously allowing highly productive agricultural systems to continue to provide food in the face of increasing demand, changing global diets, and fluctuating weather.

  19. A Description and Source Listing of Curriculum Materials in Agricultural Education, 1970-1971.

    ERIC Educational Resources Information Center

    American Vocational Association, Washington, DC. Agricultural Education Div.

    To provide teachers of vocational agriculture, agricultural supervisors, and agricultural teacher educators with information on current curriculum materials available to them, this annotated bibliography presents 207 references classified according to the AGDEX filing system. Topics are: (1) Field Crops, (2) Horticulture, (3) Forestry, (4) Animal…

  20. Agricultural intensification escalates future conservation costs.

    PubMed

    Phelps, Jacob; Carrasco, Luis Roman; Webb, Edward L; Koh, Lian Pin; Pascual, Unai

    2013-05-07

    The supposition that agricultural intensification results in land sparing for conservation has become central to policy formulations across the tropics. However, underlying assumptions remain uncertain and have been little explored in the context of conservation incentive schemes such as policies for Reducing Emissions from Deforestation and forest Degradation, conservation, sustainable management, and enhancement of carbon stocks (REDD+). Incipient REDD+ forest carbon policies in a number of countries propose agricultural intensification measures to replace extensive "slash-and-burn" farming systems. These may result in conservation in some contexts, but will also increase future agricultural land rents as productivity increases, creating new incentives for agricultural expansion and deforestation. While robust governance can help to ensure land sparing, we propose that conservation incentives will also have to increase over time, tracking future agricultural land rents, which might lead to runaway conservation costs. We present a conceptual framework that depicts these relationships, supported by an illustrative model of the intensification of key crops in the Democratic Republic of Congo, a leading REDD+ country. A von Thünen land rent model is combined with geographic information systems mapping to demonstrate how agricultural intensification could influence future conservation costs. Once postintensification agricultural land rents are considered, the cost of reducing forest sector emissions could significantly exceed current and projected carbon credit prices. Our analysis highlights the importance of considering escalating conservation costs from agricultural intensification when designing conservation initiatives.

  1. Agricultural intensification escalates future conservation costs

    PubMed Central

    Phelps, Jacob; Carrasco, Luis Roman; Webb, Edward L.; Koh, Lian Pin; Pascual, Unai

    2013-01-01

    The supposition that agricultural intensification results in land sparing for conservation has become central to policy formulations across the tropics. However, underlying assumptions remain uncertain and have been little explored in the context of conservation incentive schemes such as policies for Reducing Emissions from Deforestation and forest Degradation, conservation, sustainable management, and enhancement of carbon stocks (REDD+). Incipient REDD+ forest carbon policies in a number of countries propose agricultural intensification measures to replace extensive “slash-and-burn” farming systems. These may result in conservation in some contexts, but will also increase future agricultural land rents as productivity increases, creating new incentives for agricultural expansion and deforestation. While robust governance can help to ensure land sparing, we propose that conservation incentives will also have to increase over time, tracking future agricultural land rents, which might lead to runaway conservation costs. We present a conceptual framework that depicts these relationships, supported by an illustrative model of the intensification of key crops in the Democratic Republic of Congo, a leading REDD+ country. A von Thünen land rent model is combined with geographic information systems mapping to demonstrate how agricultural intensification could influence future conservation costs. Once postintensification agricultural land rents are considered, the cost of reducing forest sector emissions could significantly exceed current and projected carbon credit prices. Our analysis highlights the importance of considering escalating conservation costs from agricultural intensification when designing conservation initiatives. PMID:23589860

  2. Health behavior of elderly people engaged in agriculture in conjunction with information communication technology.

    PubMed

    Fujii, Chieko; Okahisa, Reiko; Matsushita, Yasuko; Tada, Toshiko

    2012-01-01

    The aim of this study is to clarify the health behavior of elderly people engaged in agriculture and information communication technology (ICT). The participants were 61 people engaged in agriculture in conjunction with ICT systems (group A), and 49 people not engaged in this (group B) from among the people aged 65 years or over in village C, both living located in a mountain areas. Data were collected from August 2009 to June 2011 in two stages: interviews to members of group A through home visits, and a group survey of groups A and B through questionnaires. The results of the study were as follows: 1) members of group A lived with feelings of attachment to the land to which they were accustomed and showed gratitude to their ancestors; 2) in group A, the desire of participants to continue their life was sufficient motivation to look after their own health and maintain independence; and 3) they provided a new challenge and a sense of achievement. The results suggest that the health behavior in group A was behavior adopted voluntarily in order to maintain an independent lifestyle supported by working, and it is likely to be linked to the preservation of health.

  3. Against the Grain: The Influence of Changing Agricultural Management on the Earth System

    NASA Astrophysics Data System (ADS)

    Foley, J. A.

    2007-12-01

    The rise of modern agriculture was one of the most transformative events in human history, and has forever changed our relationship to the natural world. By clearing tropical forests, practicing subsistence agriculture on marginal lands and intensifying industrialized farmland production, agricultural practices are changing the worldês landscapes in pervasive ways. In the past decade, we have made tremendous progress in monitoring agricultural expansion from satellites, and modeling associated environmental impacts. In the past decade, the Earth System Science research community has begun to recognize the importance of agricultural lands, particularly as they continue expanding at the expense of important natural ecosystems, potentially altering the planetês carbon cycle and climate. With the advent of new remote sensing and global modeling methods, several efforts have documented the expansion of agricultural lands, the corresponding loss of natural ecosystems, and how this may influence the earth system. But the geographic expansion of agricultural lands is not the whole story. While significant agricultural expansion (or extensification) has occurred in the past few decades, the intensification of agricultural practices Ð under the aegis of the -Green Revolution" Ð has dramatically altered the relationship between humans and environmental systems across the world. Simply put, many of the worldês existing agricultural lands are being used much more intensively as opportunities for agricultural expansion are being exhausted elsewhere. In the last 40 years, global agricultural production has more than doubled Ð although global cropland has increased by only 12% Ð mainly through the use of high yielding varieties of grain, increased reliance on irrigation, massive increases in chemical fertilization, and increased mechanization. Indeed, in the past 40 years there has been a 700% increase in global fertilizer use and a 70% increase in irrigated cropland area

  4. An alternative agriculture system is defined by a distinct expression profile of select gene transcripts and proteins

    PubMed Central

    Kumar, Vinod; Mills, Douglas J.; Anderson, James D.; Mattoo, Autar K.

    2004-01-01

    Conventional agriculture has relied heavily on chemical inputs that have negatively impacted the environment and increased production costs. Transition to agricultural sustainability is a major challenge and requires that alternative agricultural practices are scientifically analyzed to provide a sufficiently informative knowledge base in favor of alternative farming practices. We show a molecular basis for delayed leaf senescence and tolerance to diseases in tomato plants cultivated in a legume (hairy vetch) mulch-based alternative agricultural system. In the hairy vetch-cultivated plants, expression of specific and select classes of genes is up-regulated compared to those grown on black polyethylene mulch. These include N-responsive genes such as NiR, GS1, rbcL, rbcS, and G6PD; chaperone genes such as hsp70 and BiP; defense genes such as chitinase and osmotin; a cytokinin-responsive gene CKR; and gibberellic acid 20 oxidase. We present a model of how their protein products likely complement one another in a field scenario to effect efficient utilization and mobilization of C and N, promote defense against disease, and enhance longevity. PMID:15249656

  5. Analysis research for earth resource information systems - Where do we stand

    NASA Technical Reports Server (NTRS)

    Landgrebe, D. A.

    1974-01-01

    Discussion of the state of the technology of earth resources information systems relative to future operational implementation. The importance of recognizing the difference between systems with image orientation and systems with numerical orientation is illustrated in an example concerning the effect of noise on multiband multispectral data obtained in an agricultural experiment. It is suggested that the data system hardware portion of the total earth resources information system be designed in terms of a numerical orientation; it is argued, however, that this choise is entirely compatible with image-oriented analysis tasks. Some aspects of interfacing such an advanced technology with an operational user community in such a way as to accommodate the user's need for flexibility and yet provide the services needed on a cost-effective basis are discussed.

  6. An Overview of Agricultural Extension Systems: The Territory, Recent Developments and Recommended Directions.

    ERIC Educational Resources Information Center

    Rivera, William M.

    This overview is composed of four major sections. Part I is a map of agricultural extension's "territory," that is, the definitions and systems. It discusses extension functions in agricultural production institutions and varying institutional settings, describes types of extension systems, and considers farmers' degree of influence on extension…

  7. Sources and Uses of Weather Information for Agricultural Decision Makers.

    NASA Astrophysics Data System (ADS)

    McNew, Kevin P.; Mapp, Harry P.; Duchon, Claude E.; Merritt, Earl S.

    1991-04-01

    Numerous studies have examined the importance of weather information to farmers and ranchers across the U.S. This study is focused on the kinds of weather information received by farmers and ranchers, the sources of that information, and its use in production and marketing decisions. Our results are based on a survey of 292 producers from the principal agricultural areas of Oklahoma. Producers were classified into five categories related to their source of income from crop and livestock sales.Among temperature, precipitation, relative humility, and wind speed, temperature information was most widely received. Forecast lengths of highest interest were 24-h and 5-day forecasts. Precipitation information was used by many respondents for planting and harvesting decisions. Weather data and forecasts seem to be of greater value to diversified crop and livestock operators than specialized crop and livestock, perhaps due to more frequent timing decisions. Relative humility and wind information appear to be important especially during specific times of the growing season, for example, at harvest time and time of pesticide application. Television is the primary source of weather information for more than 60% of the producers.It appears that there may be a role for both public and private entities in transforming weather data and forecasts into recommendations to crop and livestock producers. Further research is needed to determine the potential value of weather information for alternative production, marketing and livestock decisions, different categories of producers, and different geographic regions.

  8. Multi-Sensor Distributive On-line Processing, Visualization, and Analysis Infrastructure for an Agricultural Information System at the NASA Goddard Earth Sciences DAAC

    NASA Astrophysics Data System (ADS)

    Teng, W.; Berrick, S.; Leptoukh, G.; Liu, Z.; Rui, H.; Pham, L.; Shen, S.; Zhu, T.

    2004-12-01

    The Goddard Space Flight Center Earth Sciences Data and Information Services Center (GES DISC) Distributed Active Archive Center (DAAC) is developing an Agricultural Information System (AIS), evolved from an existing TRMM Online Visualization and Analysis System (TOVAS), which will operationally provide precipitation and other satellite data products and services. AIS outputs will be integrated into existing operational decision support systems for global crop monitoring, such as that of the U.N. World Food Program. The ability to use the raw data stored in the GES DAAC archives is highly dependent on having a detailed understanding of the data's internal structure and physical implementation. To gain this understanding is a time-consuming process and not a productive investment of the user's time. This is an especially difficult challenge when users need to deal with multi-sensor data that usually are of different structures and resolutions. The AIS has taken a major step towards meeting this challenge by incorporating an underlying infrastructure, called the GES-DISC Interactive Online Visualization and Analysis Infrastructure or "Giovanni," that integrates various components to support web interfaces that allow users to perform interactive analysis on-line without downloading any data. Several instances of the Giovanni-based interface have been or are being created to serve users of TRMM precipitation, MODIS aerosol, and SeaWiFS ocean color data, as well as agricultural applications users. Giovanni-based interfaces are simple to use but powerful. The user selects geophysical parameters, area of interest, and time period; and the system generates an output on screen in a matter of seconds. The currently available output options are (1) area plot - averaged or accumulated over any available data period for any rectangular area; (2) time plot - time series averaged over any rectangular area; (3) Hovmoller plots - longitude-time and latitude-time plots; (4) ASCII

  9. A decision support system for rainfed agricultural areas of Mexico

    USDA-ARS?s Scientific Manuscript database

    Rural inhabitants of arid lands lack sufficient water to fulfill their agricultural and household needs. They do not have readily available technical information to support decisions regarding the course of action they should follow to handle the agro-climatic risk. In this paper, a computer model (...

  10. Ecological and economic dynamics of the Shunde agricultural system under China's small city development strategy.

    PubMed

    Lu, Hongfang; Campbell, Daniel E

    2009-06-01

    The agricultural and industrial development of small cities is the primary environmental management strategy employed to make full use of extra labor in the rural areas of China. The ecological and economic consequences of this development strategy will affect over 100 million people and change the organization of the Chinese landscape. In this study, we examined the agricultural development of Shunde, a small city in Guangdong Province, over the period 1978 until 2000. Our analysis of the ecological and economic dynamics of the agricultural system revealed the dominant role of labor in the intensification of agricultural production, even though the use of fuels, fertilizers and machines also increased during this time. The Shunde agricultural system was examined from both biophysical or donor-based and human utility or receiver-based perspectives, using emergy and economic methods, respectively. After 22 years of urbanization, the Shunde agricultural system was still able to fill 96% of the local demand for agricultural products using only 6% of its total yield compared to using 14% of the total yield in 1978. Aquaculture developed quickly during the study period as grain production decreased. In 2000, the production of fish, pork, and vegetables accounted for 92% of the total emergy output of the system; however, the emergy buying power of the money received in exchange was lower than the emergy contained in the products exported. The excess emergy exported is the basis for a high quality diet delivered to city dwellers at a relatively low price. In the 1980s, the productivity of both land and labor increased; but after 1992 the productivity of labor decreased, causing the efficiency of the whole agricultural system to decrease. We recommend that processing plants be established for the main agricultural products of Shunde to decrease the emergy loss in trading and to increase employment. The effect of including monetized ecosystem services in the balance between

  11. Numerical modeling of the agricultural-hydrologic system in Punjab, India

    NASA Astrophysics Data System (ADS)

    Nyblade, M.; Russo, T. A.; Zikatanov, L.; Zipp, K.

    2017-12-01

    The goal of food security for India's growing population is threatened by the decline in freshwater resources due to unsustainable water use for irrigation. The issue is acute in parts of Punjab, India, where small landholders produce a major quantity of India's food with declining groundwater resources. To further complicate this problem, other regions of the state are experiencing groundwater logging and salinization, and are reliant on canal systems for fresh water delivery. Due to the lack of water use records, groundwater consumption for this study is estimated with available data on crop yields, climate, and total canal water delivery. The hydrologic and agricultural systems are modeled using appropriate numerical methods and software. This is a state-wide hydrologic numerical model of Punjab that accounts for multiple aquifer layers, agricultural water demands, and interactions between the surface canal system and groundwater. To more accurately represent the drivers of agricultural production and therefore water use, we couple an economic crop optimization model with the hydrologic model. These tools will be used to assess and optimize crop choice scenarios based on farmer income, food production, and hydrologic system constraints. The results of these combined models can be used to further understand the hydrologic system response to government crop procurement policies and climate change, and to assess the effectiveness of possible water conservation solutions.

  12. A Description and Source Listing of Curriculum Materials in Agricultural Education, 1969-1970.

    ERIC Educational Resources Information Center

    American Vocational Association, Washington, DC. Agricultural Education Div.

    The purpose of this annotated bibliography is to provide teachers of vocational agriculture, agricultural supervisors, and agricultural teacher educators with information on current curriculum materials available to them. Classified according to the AGDEX filing system, the 163 references are grouped under the headings: (1) Field Crops, (2)…

  13. Using a geographic information system and scanning technology to create high-resolution land-use data sets

    USGS Publications Warehouse

    Harvey, Craig A.; Kolpin, Dana W.; Battaglin, William A.

    1996-01-01

    A geographic information system (GIS) procedure was developed to compile low-altitude aerial photography, digitized data, and land-use data from U.S. Department of Agriculture Consolidated Farm Service Agency (CFSA) offices into a high-resolution (approximately 5 meters) land-use GIS data set. The aerial photography consisted of 35-mm slides which were scanned into tagged information file format (TIFF) images. These TIFF images were then imported into the GIS where they were registered into a geographically referenced coordinate system. Boundaries between land use were delineated from these GIS data sets using on-screen digitizing techniques. Crop types were determined using information obtained from the U.S. Department of Agriculture CFSA offices. Crop information not supplied by the CFSA was attributed by manual classification procedures. Automated methods to provide delineation of the field boundaries and land-use classification were investigated. It was determined that using these data sources, automated methods were less efficient and accurate than manual methods of delineating field boundaries and classifying land use.

  14. Ecological mechanisms underlying the sustainability of the agricultural heritage rice-fish coculture system.

    PubMed

    Xie, Jian; Hu, Liangliang; Tang, Jianjun; Wu, Xue; Li, Nana; Yuan, Yongge; Yang, Haishui; Zhang, Jiaen; Luo, Shiming; Chen, Xin

    2011-12-13

    For centuries, traditional agricultural systems have contributed to food and livelihood security throughout the world. Recognizing the ecological legacy in the traditional agricultural systems may help us develop novel sustainable agriculture. We examine how rice-fish coculture (RF), which has been designated a "globally important agricultural heritage system," has been maintained for over 1,200 y in south China. A field survey demonstrated that although rice yield and rice-yield stability are similar in RF and rice monoculture (RM), RF requires 68% less pesticide and 24% less chemical fertilizer than RM. A field experiment confirmed this result. We documented that a mutually beneficial relationship between rice and fish develops in RF: Fish reduce rice pests and rice favors fish by moderating the water environment. This positive relationship between rice and fish reduces the need for pesticides in RF. Our results also indicate a complementary use of nitrogen (N) between rice and fish in RF, resulting in low N fertilizer application and low N release into the environment. These findings provide unique insights into how positive interactions and complementary use of resource between species generate emergent ecosystem properties and how modern agricultural systems might be improved by exploiting synergies between species.

  15. Agriculture: Land Use

    EPA Pesticide Factsheets

    Land Use and agriculture. Information about land use restrictions and incentive programs.Agricultural operations sometimes involve activities regulated by laws designed to protect water supplies, threatened or endangered plants and animals, or wetlands.

  16. Development of functional agricultural products utilizing the new health claim labeling system in Japan.

    PubMed

    Maeda-Yamamoto, Mari; Ohtani, Toshio

    2018-04-01

    In April 2015, Consumer Affairs Agency of Japan launched a new food labeling system known as "Foods with Function Claims (FFC)." Under this system, the food industry independently evaluates scientific evidence on foods and describes their functional properties. As of May 23, 2017, 1023 FFC containing 8 fresh foods have been launched. Meanwhile, to clarify the health-promoting effects of agricultural products, National Agriculture and Food Research Organization (NARO) implemented the "Research Project on Development of Agricultural Products" and demonstrated the risk reduction of osteoporosis of β-cryptoxanthin rich Satsuma mandarins and the anti-allergic effect of the O-methylated catechin rich tea cultivar Benifuuki. These foods were subsequently released as FFC. Moreover, NARO elucidated the health-promoting effects of various functional agricultural products (β-glucan rich barley, β-conglycinin rich soybean, quercetin rich onion, etc.) and a healthy boxed lunch. This review focuses on new food labeling system or research examining functional aspects of agricultural products.

  17. Review of research to inform California’s climate scoping plan: Agriculture and working lands

    USDA-ARS?s Scientific Manuscript database

    Agriculture in California contributes 8 percent of the State’s GHG emissions while generating over $50 billion in direct and over $100 billion in related economic activity. To inform the State’s policy and program strategy to meet climate targets, we review recent research on practices that can redu...

  18. 75 FR 45600 - Information Collection; Customer Data Worksheet Request for Service Center Information Management...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-08-03

    ... DEPARTMENT OF AGRICULTURE Farm Service Agency Information Collection; Customer Data Worksheet Request for Service Center Information Management System (SCIMS) Record Changes AGENCY: Farm Service... Customer Data Worksheet Request for Service Center Information Management System (SCIMS) that contains the...

  19. Chitosan nanoparticle based delivery systems for sustainable agriculture.

    PubMed

    Kashyap, Prem Lal; Xiang, Xu; Heiden, Patricia

    2015-01-01

    Development of technologies that improve food productivity without any adverse impact on the ecosystem is the need of hour. In this context, development of controlled delivery systems for slow and sustained release of agrochemicals or genetic materials is crucial. Chitosan has emerged as a valuable carrier for controlled delivery of agrochemicals and genetic materials because of its proven biocompatibility, biodegradability, non-toxicity, and adsorption abilities. The major advantages of encapsulating agrochemicals and genetic material in a chitosan matrix include its ability to function as a protective reservoir for the active ingredients, protecting the ingredients from the surrounding environment while they are in the chitosan domain, and then controlling their release, allowing them to serve as efficient gene delivery systems for plant transformation or controlled release of pesticides. Despite the great progress in the use of chitosan in the area of medical and pharmaceutical sciences, there is still a wide knowledge gap regarding the potential application of chitosan for encapsulation of active ingredients in agriculture. Hence, the present article describes the current status of chitosan nanoparticle-based delivery systems in agriculture, and to highlight challenges that need to be overcome. Copyright © 2015 Elsevier B.V. All rights reserved.

  20. Pollutant swapping: greenhouse gas emissions from wetland systems constructed to mitigate agricultural pollution

    NASA Astrophysics Data System (ADS)

    Freer, Adam; Quinton, John; Surridge, Ben; McNamara, Niall

    2014-05-01

    Diffuse (non-point) water pollution from agricultural land continues to challenge water quality management, requiring the adoption of new land management practices. The use of constructed agricultural wetlands is one such practice, designed to trap multiple pollutants mobilised by rainfall prior to them reaching receiving water. Through capturing and storing pollutants in bottom sediments, it could be hypothesised that the abundance of nutrients stored in the anoxic conditions commonly found in these zones may lead to pollutant swapping. Under these circumstances, trapped material may undergo biogeochemical cycling to change chemical or physical form and thereby become more problematic or mobile within the environment. Thus, constructed agricultural wetlands designed to mitigate against one form of pollution may in fact offset the created benefits by 'swapping' this pollution into other forms and pathways, such as through release to the atmosphere. Pollutant swapping to the atmosphere has been noted in analogous wetland systems designed to treat municipal and industrial wastewaters, with significant fluxes of CO2, CH4 and N2O being recorded in some cases. However the small size, low level of engineering and variable nutrient/sediment inputs which are features of constructed agricultural wetlands, means that this knowledge is not directly transferable. Therefore, more information is required when assessing whether a wetland's potential to act as hotspot for pollution swapping outweighs its potential to act as a mitigation tool for surface water pollution. Here we present results from an on-going monitoring study at a trial agricultural wetland located in small a mixed-use catchment in Cumbria, UK. Estimates were made of CH4, CO2 and N2O flux from the wetland surface using adapted floating static chambers, which were then directly compared with fluxes from an undisturbed riparian zone. Results indicate that while greenhouse gas flux from the wetland may be

  1. Real-time Geographic Information System (GIS) for Monitoring the Area of Potential Water Level Using Rule Based System

    NASA Astrophysics Data System (ADS)

    Anugrah, Wirdah; Suryono; Suseno, Jatmiko Endro

    2018-02-01

    Management of water resources based on Geographic Information System can provide substantial benefits to water availability settings. Monitoring the potential water level is needed in the development sector, agriculture, energy and others. In this research is developed water resource information system using real-time Geographic Information System concept for monitoring the potential water level of web based area by applying rule based system method. GIS consists of hardware, software, and database. Based on the web-based GIS architecture, this study uses a set of computer that are connected to the network, run on the Apache web server and PHP programming language using MySQL database. The Ultrasound Wireless Sensor System is used as a water level data input. It also includes time and geographic location information. This GIS maps the five sensor locations. GIS is processed through a rule based system to determine the level of potential water level of the area. Water level monitoring information result can be displayed on thematic maps by overlaying more than one layer, and also generating information in the form of tables from the database, as well as graphs are based on the timing of events and the water level values.

  2. User account | National Agricultural Library

    Science.gov Websites

    Skip to main content Home National Agricultural Library United States Department of Agriculture Ag | Agricultural Research Service | Plain Language | FOIA | Accessibility Statement | Information Quality | Privacy

  3. Energy-Efficient Wireless Sensor Networks for Precision Agriculture: A Review.

    PubMed

    Jawad, Haider Mahmood; Nordin, Rosdiadee; Gharghan, Sadik Kamel; Jawad, Aqeel Mahmood; Ismail, Mahamod

    2017-08-03

    Wireless sensor networks (WSNs) can be used in agriculture to provide farmers with a large amount of information. Precision agriculture (PA) is a management strategy that employs information technology to improve quality and production. Utilizing wireless sensor technologies and management tools can lead to a highly effective, green agriculture. Based on PA management, the same routine to a crop regardless of site environments can be avoided. From several perspectives, field management can improve PA, including the provision of adequate nutrients for crops and the wastage of pesticides for the effective control of weeds, pests, and diseases. This review outlines the recent applications of WSNs in agriculture research as well as classifies and compares various wireless communication protocols, the taxonomy of energy-efficient and energy harvesting techniques for WSNs that can be used in agricultural monitoring systems, and comparison between early research works on agriculture-based WSNs. The challenges and limitations of WSNs in the agricultural domain are explored, and several power reduction and agricultural management techniques for long-term monitoring are highlighted. These approaches may also increase the number of opportunities for processing Internet of Things (IoT) data.

  4. Energy-Efficient Wireless Sensor Networks for Precision Agriculture: A Review

    PubMed Central

    Jawad, Haider Mahmood; Nordin, Rosdiadee; Gharghan, Sadik Kamel; Jawad, Aqeel Mahmood

    2017-01-01

    Wireless sensor networks (WSNs) can be used in agriculture to provide farmers with a large amount of information. Precision agriculture (PA) is a management strategy that employs information technology to improve quality and production. Utilizing wireless sensor technologies and management tools can lead to a highly effective, green agriculture. Based on PA management, the same routine to a crop regardless of site environments can be avoided. From several perspectives, field management can improve PA, including the provision of adequate nutrients for crops and the wastage of pesticides for the effective control of weeds, pests, and diseases. This review outlines the recent applications of WSNs in agriculture research as well as classifies and compares various wireless communication protocols, the taxonomy of energy-efficient and energy harvesting techniques for WSNs that can be used in agricultural monitoring systems, and comparison between early research works on agriculture-based WSNs. The challenges and limitations of WSNs in the agricultural domain are explored, and several power reduction and agricultural management techniques for long-term monitoring are highlighted. These approaches may also increase the number of opportunities for processing Internet of Things (IoT) data. PMID:28771214

  5. Sensitivity of an Integrated Mesoscale Atmosphere and Agriculture Land Modeling System (WRF/CMAQ-EPIC) to MODIS Vegetation and Lightning Assimilation

    NASA Astrophysics Data System (ADS)

    Ran, L.; Cooter, E. J.; Gilliam, R. C.; Foroutan, H.; Kang, D.; Appel, W.; Wong, D. C.; Pleim, J. E.; Benson, V.; Pouliot, G.

    2017-12-01

    The combined meteorology and air quality modeling system composed of the Weather Research and Forecast (WRF) model and Community Multiscale Air Quality (CMAQ) model is an important decision support tool that is used in research and regulatory decisions related to emissions, meteorology, climate, and chemical transport. The Environmental Policy Integrated Climate (EPIC) is a cropping model which has long been used in a range of applications related to soil erosion, crop productivity, climate change, and water quality around the world. We have integrated WRF/CMAQ with EPIC using the Fertilizer Emission Scenario Tool for CMAQ (FEST-C) to estimate daily soil N information with fertilization for CMAQ bi-directional ammonia flux modeling. Driven by the weather and N deposition from WRF/CMAQ, FEST-C EPIC simulations are conducted on 22 different agricultural production systems ranging from managed grass lands (e.g. hay and alfalfa) to crop lands (e.g. corn grain and soybean) with rainfed and irrigated information across any defined conterminous United States (U.S.) CMAQ domain and grid resolution. In recent years, this integrated system has been enhanced and applied in many different air quality and ecosystem assessment projects related to land-water-atmosphere interactions. These enhancements have advanced this system to become a valuable tool for integrated assessments of air, land and water quality in light of social drivers and human and ecological outcomes. This presentation will focus on evaluating the sensitivity of precipitation and N deposition in the integrated system to MODIS vegetation input and lightning assimilation and their impacts on agricultural production and fertilization. We will describe the integrated modeling system and evaluate simulated precipitation and N deposition along with other weather information (e.g. temperature, humidity) for 2011 over the conterminous U.S. at 12 km grids from a coupled WRF/CMAQ with MODIS and lightning assimilation

  6. Animals & Livestock | National Agricultural Library

    Science.gov Websites

    Skip to main content Home National Agricultural Library United States Department of Agriculture Ag (maps, tables, graphs), Agricultural Products html National Animal Nutrition Program (NANP) Feed | Agricultural Research Service | Plain Language | FOIA | Accessibility Statement | Information Quality | Privacy

  7. A component-based system for agricultural drought monitoring by remote sensing.

    PubMed

    Dong, Heng; Li, Jun; Yuan, Yanbin; You, Lin; Chen, Chao

    2017-01-01

    In recent decades, various kinds of remote sensing-based drought indexes have been proposed and widely used in the field of drought monitoring. However, the drought-related software and platform development lag behind the theoretical research. The current drought monitoring systems focus mainly on information management and publishing, and cannot implement professional drought monitoring or parameter inversion modelling, especially the models based on multi-dimensional feature space. In view of the above problems, this paper aims at fixing this gap with a component-based system named RSDMS to facilitate the application of drought monitoring by remote sensing. The system is designed and developed based on Component Object Model (COM) to ensure the flexibility and extendibility of modules. RSDMS realizes general image-related functions such as data management, image display, spatial reference management, image processing and analysis, and further provides drought monitoring and evaluation functions based on internal and external models. Finally, China's Ningxia region is selected as the study area to validate the performance of RSDMS. The experimental results show that RSDMS provide an efficient and scalable support to agricultural drought monitoring.

  8. Proposal of optical farming: development of several optical sensing instruments for agricultural use

    NASA Astrophysics Data System (ADS)

    Saito, Y.; Kobayashi, K.

    2013-05-01

    We propose the use of "Optical Farming," which is the leading application of all types of optical technologies, in agriculture and agriculture-related industries. This paper focuses on the optical sensing instruments named "Agriserver," "Agrigadget" and "LIFS Monitor" developed in our laboratory. They are considered major factors in utilizing Optical Farming. Agriserver is a sensor network system that uses the Internet to collect information on agricultural products growing in fields. Agrigadget contains several optical devices, such as a smartphone-based spectroscopic device and a hand framing camera. LIFS Monitor is an advanced monitoring instrument that makes it possible to obtain physiological information of living plants. They are strongly associated with information communication technology. Their field and data usage performance in agricultural industries are reported.

  9. Perspectives on impacts of water quality on agriculture and community well-being-a key informant study from Sri Lanka.

    PubMed

    Thoradeniya, Bhadranie; Pinto, Uthpala; Maheshwari, Basant

    2017-11-04

    Integrated management of water quality is critical for sustaining food production and achieving overall well-being of a community. Further, understanding people's perceptions and engagement can play an important role in achieving water and food security. The main aim of this study was to investigate the perspectives of community and other stakeholders as to how water quality impacts on agriculture, livelihood and community well-being within rural farming communities of two dry zone districts of Sri Lanka. The study adopted 'key informant interviews' as the methodology to investigate community and other stakeholder perspectives to collect primary data over a period of four months. The interview contents were then examined using a frequency matrix and graphed using an Excel graphing tool. The raw text was also analysed to understand the broader patterns in the text. A fuzzy logic cognitive map (FCM) was developed using the relationships between various concepts and linkages provided by the key informants. All key informants were concerned with the quality of drinking water they consume and the water used for their food preparation. Key informants representing the farming community indicated that the use of poor quality groundwater with higher levels of hardness has made growing crops difficult in the region. The key informants also identified extensive and ongoing use of agro-chemicals and fertilisers as a major source of pollution in water bodies in both spatio-temporal scale. Based on key informant interviews, possible initiatives that can help improve surface water and groundwater qualities for both drinking and agricultural use in the dry zone of Sri Lanka can be categorised into four broader themes, viz., provision of filtering/treatment systems, reduction in the use of agro-chemical and fertilisers, education of community stakeholders and support of alternative options for portable water supplies. The study indicates that in the key informants' view of

  10. The angiosperm phloem sieve tube system: a role in mediating traits important to modern agriculture.

    PubMed

    Ham, Byung-Kook; Lucas, William J

    2014-04-01

    The plant vascular system serves a vital function by distributing water, nutrients and hormones essential for growth and development to the various organs of the plant. In this review, attention is focused on the role played by the phloem as the conduit for delivery of both photosynthate and information macromolecules, especially from the context of its mediation in traits that are important to modern agriculture. Resource allocation of sugars and amino acids, by the phloem, to specific sink tissues is of importance to crop yield and global food security. Current findings are discussed in the context of a hierarchical control network that operates to integrate resource allocation to competing sinks. The role of plasmodesmata that connect companion cells to neighbouring sieve elements and phloem parenchyma cells is evaluated in terms of their function as valves, connecting the sieve tube pressure manifold system to the various plant tissues. Recent studies have also revealed that plasmodesmata and the phloem sieve tube system function cooperatively to mediate the long-distance delivery of proteins and a diverse array of RNA species. Delivery of these information macromolecules is discussed in terms of their roles in control over the vegetative-to-floral transition, tuberization in potato, stress-related signalling involving miRNAs, and genetic reprogramming through the delivery of 24-nucleotide small RNAs that function in transcriptional gene silencing in recipient sink organs. Finally, we discuss important future research areas that could contribute to developing agricultural crops with engineered performance characteristics for enhance yield potential.

  11. Who Talks to Whom in Malawi's Agricultural Research Information Network?

    ERIC Educational Resources Information Center

    Mapila, Mariam A. T. J.; Yauney, Jason; Thangata, Paul; Droppelmann, Klaus; Mazunda, John

    2016-01-01

    Purpose: The sector-wide approach currently dominates as the strategy for developing the agricultural sector of many African countries. Although recognised that collaborative agricultural research is vital in ensuring success of sector-wide agricultural development strategies; there have been few efforts to understand the dynamics of national…

  12. An Exploration of the Formal Agricultural Education System in Trinidad and Tobago

    ERIC Educational Resources Information Center

    Hurst, Sara D.; Conner, Nathan W.; Stripling, Christopher T.; Blythe, Jessica; Giorgi, Aaron; Rubenstein, Eric D.; Futrell, Angel; Jenkins, Jenny; Roberts, T. Grady

    2015-01-01

    A team of nine researchers from the United States spent 10 days exploring the formal agricultural education system in Trinidad and Tobago from primary education through postgraduate education. Data were collected from interviews and observations from students, teachers/instructors, and agricultural producers. The team concluded that (a) the people…

  13. Application of methane fermentation technology into organic wastes in closed agricultural system

    NASA Astrophysics Data System (ADS)

    Endo, Ryosuke; Kitaya, Yoshiaki

    Sustainable and recycling-based systems are required in space agriculture which takes place in an enclosed environment. Methane fermentation is one of the most major biomass conversion technologies, because (1) it provides a renewable energy source as biogas including methane, suitable for energy production, (2) the nutrient-rich solids left after digestion can be used as compost for agriculture. In this study, the effect of the application of methane fermentation technology into space agriculture on the material and energy cycle was investigated.

  14. An Evaluation of Taiwan Vocational and Technical Education Programs in Agriculture.

    ERIC Educational Resources Information Center

    Meaders, O. Donald; Chi-ho, Hu

    Presented in both English and Chinese, this study of the system of agricultural education in Taiwan secondary and postsecondary schools resulted from the author's five-month stay in Taiwan and subsequent visits. Focus of the study is on evaluation of Taiwan's vocational agriculture education programs with information about students, faculties,…

  15. How well do meteorological indicators represent agricultural and forest drought across Europe?

    NASA Astrophysics Data System (ADS)

    Bachmair, S.; Tanguy, M.; Hannaford, J.; Stahl, K.

    2018-03-01

    Drought monitoring and early warning (M&EW) systems are an important component of agriculture/silviculture drought risk assessment. Many operational information systems rely mostly on meteorological indicators, and a few incorporate vegetation state information. However, the relationships between meteorological drought indicators and agricultural/silvicultural drought impacts vary across Europe. The details of this variability have not been elucidated sufficiently on a continental scale in Europe to inform drought risk management at administrative scales. The objective of this study is to fill this gap and evaluate how useful the variety of meteorological indicators are to assess agricultural/silvicultural drought across Europe. The first part of the analysis systematically linked meteorological drought indicators to remote sensing based vegetation indices (VIs) for Europe at NUTs3 administrative regions scale using correlation analysis for crops and forests. In a second step, a stepwise multiple linear regression model was deployed to identify variables explaining the spatial differences observed. Finally, corn crop yield in Germany was chosen as a case study to verify VIs’ representativeness of agricultural drought impacts. Results show that short accumulation periods of SPI and SPEI are best linked to crop vegetation stress in most cases, which further validates the use of SPI3 in existing operational drought monitors. However, large regional differences in correlations are also revealed. Climate (temperature and precipitation) explained the largest proportion of variance, suggesting that meteorological indices are less informative of agricultural/silvicultural drought in colder/wetter parts of Europe. These findings provide important context for interpreting meteorological indices on widely used national to continental M&EW systems, leading to a better understanding of where/when such M&EW tools can be indicative of likely agricultural stress and impacts.

  16. A coupled human-natural systems analysis of irrigated agriculture under changing climate

    NASA Astrophysics Data System (ADS)

    Giuliani, M.; Li, Y.; Castelletti, A.; Gandolfi, C.

    2016-09-01

    Exponentially growing water demands and increasingly uncertain hydrologic regimes due to changes in climate and land use are challenging the sustainability of agricultural water systems. Farmers must adapt their management strategies in order to secure food production and avoid crop failures. Investigating the potential for adaptation policies in agricultural systems requires accounting for their natural and human components, along with their reciprocal interactions. Yet this feedback is generally overlooked in the water resources systems literature. In this work, we contribute a novel modeling approach to study the coevolution of irrigated agriculture under changing climate, advancing the representation of the human component within agricultural systems by using normative meta-models to describe the behaviors of groups of farmers or institutional decisions. These behavioral models, validated against observational data, are then integrated into a coupled human-natural system simulation model to better represent both systems and their coevolution under future changing climate conditions, assuming the adoption of different policy adaptation options, such as cultivating less water demanding crops. The application to the pilot study of the Adda River basin in northern Italy shows that the dynamic coadaptation of water supply and demand allows farmers to avoid estimated potential losses of more than 10 M€/yr under projected climate changes, while unilateral adaptation of either the water supply or the demand are both demonstrated to be less effective. Results also show that the impact of the different policy options varies as function of drought intensity, with water demand adaptation outperforming water supply adaptation when drought conditions become more severe.

  17. Adaptation Options for Land Drainage Systems Towards Sustainable Agriculture and Environment: A Czech Perspective

    NASA Astrophysics Data System (ADS)

    Kulhavý, Zbyněk; Fučík, Petr

    2015-04-01

    In this paper, issues of agricultural drainage systems are introduced and discussed from the views of their former, current and future roles and functioning in the Czech Republic (CR). A methodologically disparate survey was done on thirty-nine model localities in CR with different intensity and state of land drainage systems, aimed at description of commonly occurred problems and possible adaptations of agricultural drainage as perceived by farmers, land owners, landscape managers or by protective water management. The survey was focused on technical state of drainage, fragmentation of land ownership within drained areas as well as on possible conflicts between agricultural and environmental interests in a landscape. Achieved results confirmed that there is obviously an increasing need to reassess some functions of prevailingly single-purpose agricultural drainage systems. Drainage intensity and detected unfavourable technical state of drainage systems as well as the risks connected with the anticipated climate change from the view of possible water scarcity claims for a complex solution. An array of adaptation options for agricultural drainage systems is presented, aiming at enhancement of water retention time and improvement of water quality. It encompasses additional flow-controlling measures on tiles or ditches, or facilities for making selected parts of a drainage system inoperable in order to retain or slow down the drainage runoff, to establish water accumulation zones and to enhance water self-cleaning processes. However, it was revealed that the question of landowner parcels fragmentation on drained land in CR would dramatically complicate design and realization of these measures. Presented solutions and findings are propounded with a respect to contemporary and future state policies and international strategies for sustainable agriculture, water management and environment.

  18. Agricultural Work Force Households: How Much Do They Depend on Farming? Background for Agricultural Policy. Agriculture Information Bulletin Number 547.

    ERIC Educational Resources Information Center

    Cox, E. Jane; Oliveira, Victor J.

    According to data from the 1985 Agricultural Work Force Survey, over 13.5 million of the 17.6 million agricultural work force household members (77 percent) lived in households headed by a farm worker. Some farm workers worked on the farm as their primary job, whereas others primarily worked off the farm. Farm work was an occasional form of…

  19. Design on automatic rolling system for agricultural greenhouse

    NASA Astrophysics Data System (ADS)

    Fu, Li; Fu, Xiuwei; Zhang, Yanxiao

    2018-03-01

    The automatic rolling system of agricultural greenhouse is introduced in this paper. The opening degree of greenhouse according to changes in light intensity and temperature is adjusted. When the current is too large or the motor is blocked or lost, the buzzer is alarmed and warned someone the controlling system badly. When the temperature is higher than the default value, the fan is moved by the micro-controller controls, otherwise the heating rod so that the temperature reaches the preset range.

  20. Trends in multi-pollutant emissions from a technology-linked inventory for India: II. Residential, agricultural and informal industry sectors

    NASA Astrophysics Data System (ADS)

    Pandey, Apoorva; Sadavarte, Pankaj; Rao, Anand B.; Venkataraman, Chandra

    2014-12-01

    Dispersed traditional combustion technologies, characterized by inefficient combustion and significant emissions, are widely used in residential cooking and "informal industries" including brick production, food and agricultural product processing operations like drying and cooking operations related to sugarcane juice, milk, food-grain, jute, silk, tea and coffee. In addition, seasonal agricultural residue burning in field is a discontinuous source of significant emissions. Here we estimate fuel consumption in these sectors and agricultural residue burned using detailed technology divisions and survey-based primary data for 2010 and projected between 1996 and 2015. In the residential sector, a decline in the fraction of solid biomass users for cooking from 79% in 1996 to 65% in 2010 was offset by a growing population, leading to a nearly constant population of solid biomass users, with a corresponding increase in the population of LPG users. Emissions from agriculture followed the growth in agricultural production and diesel use by tractors and pumps. Trends in emissions from the informal industries sector followed those in coal combustion in brick kilns. Residential biomass cooking stoves were the largest contributors to emissions of PM2.5, OC, CO, NMVOC and CH4. Highest emitting technologies of BC were residential kerosene wick lamps. Emissions of SO2 were largely from coal combustion in Bull's trench kilns and other brick manufacturing technologies. Diesel use in tractors was the major source of NOx emissions. Uncertainties in emission estimates were principally from highly uncertain emission factors, particularly for technologies in the informal industries.

  1. A center for commercial development of space: Real-time satellite mapping. Remote sensing-based agricultural information expert system

    NASA Technical Reports Server (NTRS)

    Hadipriono, Fabian C.; Diaz, Carlos F.; Merritt, Earl S.

    1989-01-01

    The research project results in a powerful yet user friendly CROPCAST expert system for use by a client to determine the crop yield production of a certain crop field. The study is based on the facts that heuristic assessment and decision making in agriculture are significant and dominate much of agribusiness. Transfer of the expert knowledge concerning remote sensing based crop yield production into a specific expert system is the key program in this study. A knowledge base consisting of a root frame, CROP-YIELD-FORECAST, and four subframes, namely, SATELLITE, PLANT-PHYSIOLOGY, GROUND, and MODEL were developed to accommodate the production rules obtained from the domain expert. The expert system shell Personal Consultant Plus version 4.0. was used for this purpose. An external geographic program was integrated to the system. This project is the first part of a completely built expert system. The study reveals that much effort was given to the development of the rules. Such effort is inevitable if workable, efficient, and accurate rules are desired. Furthermore, abundant help statements and graphics were included. Internal and external display routines add to the visual capability of the system. The work results in a useful tool for the client for making decisions on crop yield production.

  2. A Study of Agricultural Job Tasks and Implications for Curriculum Development in Agriculture and Agriculture Related Occupations.

    ERIC Educational Resources Information Center

    Hawaii State Dept. of Education, Honolulu. Office of Instructional Services.

    The study, based on a survey of agricultural industry in Hawaii, was conducted to obtain current job task information to be used as the basis for curriculum improvement in agricultural technology and ornamental horticulture. It determines the kinds and frequency of job skills and the importance of the accompanying knowledge required. A checklist…

  3. Comparison of Agricultural Drought Indicators over West Africa

    NASA Astrophysics Data System (ADS)

    Husak, G. J.; Turner, W.; McNally, A.; Shukla, S.; Funk, C. C.

    2017-12-01

    The Famine Early Warning Systems Network (FEWS NET) monitors critical environmental variables that impact food production in developing countries, including over 30 countries in Africa. Much of this work focuses on the identification of agricultural drought using remotely sensed and modeled estimates of conditions. These variables estimate precipitation, potential evapotranspiration, water availability for crops and soil moisture - among others - at a critical time, or accumulated over intervals within the season. Frequently, these variables are used in a "convergence of evidence" approach to identify the location and severity of agricultural drought over a region. While much work has gone into identifying and calculating these key indicators, little attention has been given to the relationships between these variables. This work explores the relationship between four key agricultural drought indicators over West Africa to determine the extent to which they are providing unique information and also to expose where certain variables may not be adding independent information to the identification of agricultural drought and the potential for food insecurity. These variables investigated in this study are the Standardized Precipitation Index (SPI), the Standardized Precipitation Evapotranspiration Index (SPEI), the Water Requirement Satisfaction Index (WRSI) and modeled soil moisture (SM) from the FEWSNET Land Data Assimilation System (FLDAS). We look at 35 years of data (1982-2016) over West Africa and identify the primary growing season for the region, then compare the four variables above during this prime season. Because the computational costs of calculating these different indicators varies, we seek to identify where products that are less cost/data intensive adequately capture the same information as the more intensive indicators. The outcome highlights where particular products are most useful for the identification of agricultural drought over the region.

  4. [Energy flow characteristics of the compound agriculture-fruit farming system in Xipo Village, Shaanxi, Northwest China].

    PubMed

    Wu, Fa-Qi; Zhu, Li; Wang, Hong-Hong

    2014-01-01

    Taking the crop-fruit farming system in Xipo Village in Chunhua, Shaanxi Province as a case, the energy flow path, input and output structure, and the indices of energy cycle for the agriculture, fruit, stockbreeding and human subsystems were compared between 2008 and 2010. Results showed that during the study period the total investment to the agriculture-fruit farming system (CAF) decreased by 1.6%, while the total output increased by 56.7%, which led to a 59.4% increase of the output/input ratio. Energy output/input ratio of the agriculture, fruit, stockbreeding, human subsystems increased by 36.6%, 21.0%, 10.0% and 3.8%, respectively. The Xipo Village still needed to stabilize the agriculture, develop stockbreeding and strengthen fruit to upgrade the compound agriculture-fruit farming system.

  5. Monitoring Agricultural Drought Using Geographic Information Systems and Remote Sensing on the Primary Corn and Soybean Belt in the United States

    NASA Astrophysics Data System (ADS)

    Al-Shomrany, Adel

    The study aims to evaluate various remote sensing drought indices to assess those most fitting for monitoring agricultural drought. The objectives are (1) to assess and study the impact of drought effect on (corn and soybean) crop production by crop mapping information and GIS technology; (2) to use Geographical Weighted Regression (GWR) as a technical approach to evaluate the spatial relationships between precipitation vs. irrigated and non-irrigated corn and soybean yield, using a Nebraska county-level case study; (3) to assess agricultural drought indices derived from remote sensing (NDVI, NMDI, NDWI, and NDII6); (4) to develop an optimal approach for agricultural drought detection based on remote sensing measurements to determine the relationship between US county-level yields versus relatively common variables collected. Extreme drought creates low corn and soybean production where irrigation systems are not implemented. This results in a lack of moisture in soil leading to dry land and stale crop yields. When precipitation and moisture is found across all states, corn and soybean production flourishes. For Kansas, Nebraska, and South Dakota, irrigation management methods assist in strong crop yields throughout SPI monthly averages. The data gathered on irrigation consisted of using drought indices gathered by the national agricultural statistics service website. For the SPI levels ranging between one-month and nine-months, Kansas and Nebraska performed the best out of all 12-states contained in the Midwestern primary Corn and Soybean Belt. The reasoning behind Kansas and Nebraska's results was due to a more efficient and sustainable irrigation system, where upon South Dakota lacked. South Dakota was leveled by strong correlations throughout all SPI periods for corn only. Kansas showed its strongest correlations for the two-month and three-month averages, for both corn and soybean. Precipitation regression with irrigated and non-irrigated maize (corn) and

  6. Private Agricultural Extension System in Kenya: Practice and Policy Lessons

    ERIC Educational Resources Information Center

    Muyanga, Milu; Jayne, T. S.

    2008-01-01

    Private extension system has been at the centre of a debate triggered by inefficient public agricultural extension. The debate is anchored on the premise that the private sector is more efficient in extension service delivery. This study evaluates the private extension system in Kenya. It employs qualitative and quantitative methods. The results…

  7. Adaptation to Interannual and Interdecadal Climate Variability in Agricultural Production Systems of the Argentine Pampas

    NASA Astrophysics Data System (ADS)

    Podestá, G. P.; Bert, F.; Weber, E.; Laciana, C.; Rajagopalan, B.; Letson, D.

    2007-05-01

    Agricultural ecosystems play a central role in world food production and food security, and involve one of the most climate-sensitive sectors of society-agriculture. We focus on crop production in the Argentine Pampas, one of the world's major agricultural regions. Climate of the Pampas shows marked variability at both interannual and decadal time scales. We explored the scope for adaptive management in response to climate information on interannual scales. We show that different assumptions about what decision makers are trying to achieve (i.e., their objective functions) may change what actions are considered as "optimal" for a given climate context. Optimal actions also were used to estimate the economic value of forecasts of an ENSO phase. Decision constraints (e.g., crop rotations) have critical influence on value of the forecasting system. Gaps in knowledge or misconceptions about climate variability were identified in open-ended "mental model" interviews. Results were used to design educational interventions. A marked increase in precipitation since the 1970s, together with new production technologies, led to major changes in land use patterns in the Pampas. Continuous cropping has widely replaced agriculture-pasture rotations. Nevertheless, production systems that evolved partly in response to increased rainfall may not be viable if climate reverts to a drier epoch. We use historical data to define a range of plausible climate trajectories 20-30 years hence. Regional scenarios are downscaled using semi-parametric weather generators to produce multiple realizations of daily weather consistent with decadal scenarios. Finally, we use the synthetic climate, crop growth models, and realistic models of decision-making under risk to compute risk metrics (e.g., probability of yields or profits being below a threshold). Climatically optimal and marginal locations show differential responses: probabilities of negative economic results are much higher in currently

  8. The Role of the National Agricultural Library.

    ERIC Educational Resources Information Center

    Howard, Joseph H.

    1989-01-01

    Describes the role, users, collections and services of the National Agricultural Library. Some of the services discussed include a machine readable bibliographic database, an international interlibrary loan system, programs to develop library networks and cooperative cataloging, and the development and use of information technologies such as laser…

  9. Restrictive Factors and Output Forecast of Green Development of Agricultural Industry Based on Gray System

    NASA Astrophysics Data System (ADS)

    Sun, Fengru

    2018-01-01

    This paper analyzes the characteristics of agricultural products from the perspective of agricultural production, farmers’ income, adjustment of agricultural structure and environmental improvement, and analyzes the characteristics of agricultural products in LanZhou area. Through data mining and empirical analysis, the regional agriculture (1) forecasting model of gray system with dynamic data processing, combined with the output data of lily in 2004-2003, the yield prediction is predicted and the fitting state is good and the error is small. Finally, combined with the relevant characteristics of the local characteristics of the agricultural industry to make reference, by changing the characteristics of agricultural production as the center of the mindset, and agricultural industrialization and organic combination, take the characteristics of efficient industrialization of agricultural products.

  10. Benchmarking a soil moisture data assimilation system for agricultural drought monitoring

    USDA-ARS?s Scientific Manuscript database

    Despite considerable interest in the application of land surface data assimilation systems (LDAS) for agricultural drought applications, relatively little is known about the large-scale performance of such systems and, thus, the optimal methodological approach for implementing them. To address this ...

  11. State of science of phosphorus modeling in tile drained agricultural systems using APEX

    USDA-ARS?s Scientific Manuscript database

    Phosphorus losses through tile drained systems in agricultural landscapes may be causing the persistent eutrophication problems observed in surface water. The purpose of this paper is to evaluate the state of the science in the Agricultural Policy/Environmental eXtender (APEX) model related to surf...

  12. Remote sensing applications for sustainable agriculture in South Africa (Conference Presentation)

    NASA Astrophysics Data System (ADS)

    Jarmain, Caren; Van Niekerk, Adriaan; Goudriaan, Ruben

    2016-10-01

    Agriculture contributes greatly to the economy of South Africa (SA), through job creation and produce exports. SA is classified as a semi-arid country and due to its low rainfall, fierce competition exists for the available water resources. Balancing the need for water resources on the one hand, with the importance of agricultural production on the other, is often challenging. A lot of emphasis is placed on prudent water management and enhanced crop water use efficiency. Suitable information and tools are key in empowering both water resources managers and (crop) producers for sustainable agricultural production. Information and tools available at frequent intervals throughout the production season and at a range of levels - from the field to the catchment and for the entire country - has become essential. The frequency and availability of remote sensing data, developments in algorithms to produce information related to the water cycle and crop growth and hence the actual information sets produced over time, makes for fitting solutions. Though much progress has been made over the past years to integrate these spatial data products into water management and agricultural systems, it is likely still in its infancy. In the paper, some flagship projects related to sustainable agriculture and water management - both research and applied - are showcased.

  13. 78 FR 39704 - Agency Information Collection Activities: Revision of Approved Information Collection; Comment...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-07-02

    ... use of automated data processing (ADP) and information retrieval systems to administer SNAP. Section... DEPARTMENT OF AGRICULTURE Food and Nutrition Service Agency Information Collection Activities: Revision of Approved Information Collection; Comment Request--Supplemental Nutrition Assistance Program...

  14. Detection of Anthropogenic pressures on western Mediterranean irrigation systems (La Albufera de Valencia agriculture system, eastern Spain)

    NASA Astrophysics Data System (ADS)

    Pascual-Aguilar, J. A.; Andreu, V.; Picó, Y.

    2012-04-01

    Irrigation systems are considered as one of the major landscapes features in western Mediterranean environments. Both socio-economic and cultural elements are interrelated in their development and preservation. Generally, due to their location in flat lands and close to major urban-industrial zones, irrigation lands are suffering of intense pressures that can alter their agricultural values, environmental quality and, consequently, the sustainability of the systems. To understand the nature of anthropogenic pressures on large Mediterranean water agricultural systems a methodology based on environmental forensics criteria has been developed and applied to La Albufera Natural Park in Valencia (Eastern Spain), a protected area where traditional irrigation systems exists since Muslim times (from 8th to 15th centuries). The study analysed impacts on water and soils, for the first case the fate of emerging contaminants of urban origin (pharmaceuticals and illegal drugs) are analysed. Impact on soils is analysed using the dynamics urban expansion and the loss and fragmentation of soils. The study focused is organised around two major procedures: (1) analysis of 16 water samples to identify the presence of 14 illicit drugs and 17 pharmaceutical compounds by Liquid Chromatography-Mass Spectrometry techniques; (2) spatial analysis with Geographical Information Systems (GIS) integrating different sources and data formats such as water analysis, social, location of sewage water treatment plan and the synchronic comparison of two soil sealing layers -for the years 1991 and 2010. Results show that there is a clear trend in the introduction of pharmaceutical in the irrigation water through previous use of urban consumption and, in many cases, for receiving the effluents of wastewaters treatment plants. Impacts on soils are also important incidence in the fragmentation and disappearance of agricultural land due to soil sealing, even within the protected area of the Natural Park

  15. Product competitiveness analysis for e-commerce platform of special agricultural products

    NASA Astrophysics Data System (ADS)

    Wan, Fucheng; Ma, Ning; Yang, Dongwei; Xiong, Zhangyuan

    2017-09-01

    On the basis of analyzing the influence factors of the product competitiveness of the e-commerce platform of the special agricultural products and the characteristics of the analytical methods for the competitiveness of the special agricultural products, the price, the sales volume, the postage included service, the store reputation, the popularity, etc. were selected in this paper as the dimensionality for analyzing the competitiveness of the agricultural products, and the principal component factor analysis was taken as the competitiveness analysis method. Specifically, the web crawler was adopted to capture the information of various special agricultural products in the e-commerce platform ---- chi.taobao.com. Then, the original data captured thereby were preprocessed and MYSQL database was adopted to establish the information library for the special agricultural products. Then, the principal component factor analysis method was adopted to establish the analysis model for the competitiveness of the special agricultural products, and SPSS was adopted in the principal component factor analysis process to obtain the competitiveness evaluation factor system (support degree factor, price factor, service factor and evaluation factor) of the special agricultural products. Then, the linear regression method was adopted to establish the competitiveness index equation of the special agricultural products for estimating the competitiveness of the special agricultural products.

  16. NABIC: A New Access Portal to Search, Visualize, and Share Agricultural Genomics Data.

    PubMed

    Seol, Young-Joo; Lee, Tae-Ho; Park, Dong-Suk; Kim, Chang-Kug

    2016-01-01

    The National Agricultural Biotechnology Information Center developed an access portal to search, visualize, and share agricultural genomics data with a focus on South Korean information and resources. The portal features an agricultural biotechnology database containing a wide range of omics data from public and proprietary sources. We collected 28.4 TB of data from 162 agricultural organisms, with 10 types of omics data comprising next-generation sequencing sequence read archive, genome, gene, nucleotide, DNA chip, expressed sequence tag, interactome, protein structure, molecular marker, and single-nucleotide polymorphism datasets. Our genomic resources contain information on five animals, seven plants, and one fungus, which is accessed through a genome browser. We also developed a data submission and analysis system as a web service, with easy-to-use functions and cutting-edge algorithms, including those for handling next-generation sequencing data.

  17. NABIC: A New Access Portal to Search, Visualize, and Share Agricultural Genomics Data

    PubMed Central

    Seol, Young-Joo; Lee, Tae-Ho; Park, Dong-Suk; Kim, Chang-Kug

    2016-01-01

    The National Agricultural Biotechnology Information Center developed an access portal to search, visualize, and share agricultural genomics data with a focus on South Korean information and resources. The portal features an agricultural biotechnology database containing a wide range of omics data from public and proprietary sources. We collected 28.4 TB of data from 162 agricultural organisms, with 10 types of omics data comprising next-generation sequencing sequence read archive, genome, gene, nucleotide, DNA chip, expressed sequence tag, interactome, protein structure, molecular marker, and single-nucleotide polymorphism datasets. Our genomic resources contain information on five animals, seven plants, and one fungus, which is accessed through a genome browser. We also developed a data submission and analysis system as a web service, with easy-to-use functions and cutting-edge algorithms, including those for handling next-generation sequencing data. PMID:26848255

  18. A component-based system for agricultural drought monitoring by remote sensing

    PubMed Central

    Yuan, Yanbin; You, Lin; Chen, Chao

    2017-01-01

    In recent decades, various kinds of remote sensing-based drought indexes have been proposed and widely used in the field of drought monitoring. However, the drought-related software and platform development lag behind the theoretical research. The current drought monitoring systems focus mainly on information management and publishing, and cannot implement professional drought monitoring or parameter inversion modelling, especially the models based on multi-dimensional feature space. In view of the above problems, this paper aims at fixing this gap with a component-based system named RSDMS to facilitate the application of drought monitoring by remote sensing. The system is designed and developed based on Component Object Model (COM) to ensure the flexibility and extendibility of modules. RSDMS realizes general image-related functions such as data management, image display, spatial reference management, image processing and analysis, and further provides drought monitoring and evaluation functions based on internal and external models. Finally, China’s Ningxia region is selected as the study area to validate the performance of RSDMS. The experimental results show that RSDMS provide an efficient and scalable support to agricultural drought monitoring. PMID:29236700

  19. Synthetic aperture radar for a crop information system: A multipolarization and multitemporal approach

    NASA Astrophysics Data System (ADS)

    Ban, Yifang

    Acquisition of timely information is a critical requirement for successful management of an agricultural monitoring system. Crop identification and crop-area estimation can be done fairly successfully using satellite sensors operating in the visible and near-infrared (VIR) regions of the spectrum. However, data collection can be unreliable due to problems of cloud cover at critical stages of the growing season. The all-weather capability of synthetic aperture radar (SAR) imagery acquired from satellites provides data over large areas whenever crop information is required. At the same time, SAR is sensitive to surface roughness and should be able to provide surface information such as tillage-system characteristics. With the launch of ERS-1, the first long-duration SAR system became available. The analysis of airborne multipolarization SAR data, multitemporal ERS-1 SAR data, and their combinations with VIR data, is necessary for the development of image-analysis methodologies that can be applied to RADARSAT data for extracting agricultural crop information. The overall objective of this research is to evaluate multipolarization airborne SAR data, multitemporal ERS-1 SAR data, and combinations of ERS-1 SAR and satellite VIR data for crop classification using non-conventional algorithms. The study area is situated in Norwich Township, an agricultural area in Oxford County, southern Ontario, Canada. It has been selected as one of the few representative agricultural 'supersites' across Canada at which the relationships between radar data and agriculture are being studied. The major field crops are corn, soybeans, winter wheat, oats, barley, alfalfa, hay, and pasture. Using airborne C-HH and C-HV SAR data, it was found that approaches using contextual information, texture information and per-field classification for improving agricultural crop classification proved to be effective, especially the per-field classification method. Results show that three of the four best

  20. Systems and methods for autonomously controlling agricultural machinery

    DOEpatents

    Hoskinson, Reed L.; Bingham, Dennis N.; Svoboda, John M.; Hess, J. Richard

    2003-07-08

    Systems and methods for autonomously controlling agricultural machinery such as a grain combine. The operation components of a combine that function to harvest the grain have characteristics that are measured by sensors. For example, the combine speed, the fan speed, and the like can be measured. An important sensor is the grain loss sensor, which may be used to quantify the amount of grain expelled out of the combine. The grain loss sensor utilizes the fluorescence properties of the grain kernels and the plant residue to identify when the expelled plant material contains grain kernels. The sensor data, in combination with historical and current data stored in a database, is used to identify optimum operating conditions that will result in increased crop yield. After the optimum operating conditions are identified, an on-board computer can generate control signals that will adjust the operation of the components identified in the optimum operating conditions. The changes result in less grain loss and improved grain yield. Also, because new data is continually generated by the sensor, the system has the ability to continually learn such that the efficiency of the agricultural machinery is continually improved.

  1. Psychiatric agriculture: systemic nutritional modification and mental health in the developing world.

    PubMed

    London, Douglas S; Stoll, Andrew L; Manning, Bruce B

    2006-01-01

    Modernization of agricultural systems to increase output causes changes to the nutritional content of food entire populations consume. Human nutritional needs differ from their "food", thus producing healthy agricultural products is not equivalent to providing agricultural products that are healthy for humans. Inclusion of the food production system as a factor in the increase of neuropsychiatric disorders and other chronic diseases helps explain negative trends in modern chronic diseases that remain unchecked despite stunning advances in modern medicine. Diseases in which our own technology plays a significant role include obesity and resulting disorders, such as diabetes, heart disease, hypertension, stroke and arthritis. Modernization's lure leads to importation of modern agricultural practices into a nutritionally vulnerable, malnourished and sometimes starving developing world. Wealthier nations hedge their food portfolio by having access to a wider variety of foods. The developing world's reliance on staple foods means even a minor widespread nutritional modification of one key food can have profound effects. New agricultural techniques may improve or exacerbate neuropsychiatric disorders through nutritional modification in regions where populations walk a nutritional tightrope with little margin for error. In most of the developing world western psychiatric interventions have failed to make inroads. People's consumption of fish has a demonstrated beneficial effect on their mental health and the omega-3 fatty acid content is a significant factor. Epidemiological, biological and agricultural studies implicate a lack of dietary omega-3s as a factor in certain mental disorders. Replenishing omega-3s has improved mental illnesses in controlled clinical trials. This article's detailed tilapia fish-farming model demonstrates how aquaculture/agriculture techniques can function as a public health intervention by increasing dietary omega-3s through creation of

  2. Informing Lake Erie agriculture nutrient management via scenario evaluation

    USGS Publications Warehouse

    Scavia, Donald; Kalcic, Margaret; Muenich, Rebecca Logsdon; Aloysius, Noel; Arnold, Jeffrey; Boles, Chelsie; Confesor, Remegio; DePinto, Joseph; Gildow, Marie; Martin, Jay; Read, Jennifer; Redder, Todd; Robertson, Dale M.; Sowa, Scott P.; Wang, Yu-Chen; White, Michael; Yen, Haw

    2016-01-01

    Therefore, the overall goal of this study was to identify potential options for agricultural management to reduce phosphorus loads and lessen future HABs in Lake Erie. We applied multiple watershed models to test the ability of a series of land management scenarios, developed in consultation with agricultural and environmental stakeholders, to reach the proposed targets. 

  3. Higher Agricultural Universities Serve for "Sannong" by Offering English Human Resources Support System

    ERIC Educational Resources Information Center

    Yuan, Youqin; Cheng, Baole

    2008-01-01

    This paper puts higher agricultural English education how to serve for "Sannong" construction as priority, combining the actual market demand, based on teaching reform in the past few years, tries to explore English nurturing model and curriculum system for real delivery the agriculture-related qualified foreign language professionals.…

  4. Mandatory Production Controls. Issues in Agricultural Policy. Agriculture Information Bulletin Number 520.

    ERIC Educational Resources Information Center

    Economic Research Service (USDA), Washington, DC.

    Mandatory restrictions on agricultural production continue to be suggested as an alternative policy for reducing price-depressing surplus production, increasing farm income, and cutting farm program costs. A mandatory production control program (MPCP) can be implemented through two methods: (1) acreage allotments, which restrict individual farmers…

  5. Factors Affecting Performance of Agricultural Extension: Evidence from Democratic Republic of Congo

    ERIC Educational Resources Information Center

    Ragasa, Catherine; Ulimwengu, John; Randriamamonjy, Josee; Badibanga, Thaddee

    2016-01-01

    Purpose: As part of the institutional reforms and agricultural restructuring in the Democratic Republic of Congo (DRC), this paper provides an assessment of the performance of the agricultural extension system as well as factors explaining it. Method: This paper involves key informants' interviews and surveys of 107 extension organizations and 162…

  6. New Institutional Theory and a Culture of Safety in Agriculture.

    PubMed

    Janssen, Brandi; Nonnenmann, Matthew W

    2017-01-01

    Health and safety professionals often call for an improved safety culture in agriculture. Such a shift would result in agricultural practices that prioritize safe work habits and see safety as both an effective means to improve production and a goal worth pursuing in its own right. This article takes an anthropological approach and demonstrates the potential for new institutional theory to conceptualize broader cultural change in agriculture. New institutional theory examines the roles of organizations and the ways that they inform and support broad social institutions. Using preliminary data from the agricultural lending industry in Iowa and integrated poultry production in Texas, this article considers the ability of these organizations to contribute to systemic change and an improved culture of safety in agriculture.

  7. New Institutional Theory and a Culture of Safety in Agriculture

    PubMed Central

    Janssen, Brandi; Nonnenmann, Matthew W.

    2017-01-01

    Health and safety professionals often call for an improved safety culture in agriculture. Such a shift would result in agricultural practices that prioritize safe work habits and see safety as both an effective means to improve production and a goal worth pursuing in its own right. This article takes an anthropological approach and demonstrates the potential for new institutional theory to conceptualize broader cultural change in agriculture. New institutional theory examines the roles of organizations and the ways that they inform and support broad social institutions. Using preliminary data from the agricultural lending industry in Iowa and integrated poultry production in Texas, this article considers the ability of these organizations to contribute to systemic change and an improved culture of safety in agriculture. PMID:27754778

  8. Feasibility study of a microwave radar system for agricultural inspection

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Okelo-Odongo, S.

    1994-10-03

    The feasibility of an impulse radar system for agricultural inspection is investigated. This system would be able to quickly determine the quality of foodstuffs that are passed through the system. A prototype was designed at the Lawrence Livermore National Laboratory and this report discusses it`s evaluation. A variety of apples were used to test the system and preliminary data suggests that this technology holds promise for successful application on a large scale in food processing plants.

  9. BIG DATA ANALYTICS AND PRECISION ANIMAL AGRICULTURE SYMPOSIUM: Machine learning and data mining advance predictive big data analysis in precision animal agriculture.

    PubMed

    Morota, Gota; Ventura, Ricardo V; Silva, Fabyano F; Koyama, Masanori; Fernando, Samodha C

    2018-04-14

    Precision animal agriculture is poised to rise to prominence in the livestock enterprise in the domains of management, production, welfare, sustainability, health surveillance, and environmental footprint. Considerable progress has been made in the use of tools to routinely monitor and collect information from animals and farms in a less laborious manner than before. These efforts have enabled the animal sciences to embark on information technology-driven discoveries to improve animal agriculture. However, the growing amount and complexity of data generated by fully automated, high-throughput data recording or phenotyping platforms, including digital images, sensor and sound data, unmanned systems, and information obtained from real-time noninvasive computer vision, pose challenges to the successful implementation of precision animal agriculture. The emerging fields of machine learning and data mining are expected to be instrumental in helping meet the daunting challenges facing global agriculture. Yet, their impact and potential in "big data" analysis have not been adequately appreciated in the animal science community, where this recognition has remained only fragmentary. To address such knowledge gaps, this article outlines a framework for machine learning and data mining and offers a glimpse into how they can be applied to solve pressing problems in animal sciences.

  10. Advancing agricultural greenhouse gas quantification*

    NASA Astrophysics Data System (ADS)

    Olander, Lydia; Wollenberg, Eva; Tubiello, Francesco; Herold, Martin

    2013-03-01

    1. Introduction Better information on greenhouse gas (GHG) emissions and mitigation potential in the agricultural sector is necessary to manage these emissions and identify responses that are consistent with the food security and economic development priorities of countries. Critical activity data (what crops or livestock are managed in what way) are poor or lacking for many agricultural systems, especially in developing countries. In addition, the currently available methods for quantifying emissions and mitigation are often too expensive or complex or not sufficiently user friendly for widespread use. The purpose of this focus issue is to capture the state of the art in quantifying greenhouse gases from agricultural systems, with the goal of better understanding our current capabilities and near-term potential for improvement, with particular attention to quantification issues relevant to smallholders in developing countries. This work is timely in light of international discussions and negotiations around how agriculture should be included in efforts to reduce and adapt to climate change impacts, and considering that significant climate financing to developing countries in post-2012 agreements may be linked to their increased ability to identify and report GHG emissions (Murphy et al 2010, CCAFS 2011, FAO 2011). 2. Agriculture and climate change mitigation The main agricultural GHGs—methane and nitrous oxide—account for 10%-12% of anthropogenic emissions globally (Smith et al 2008), or around 50% and 60% of total anthropogenic methane and nitrous oxide emissions, respectively, in 2005. Net carbon dioxide fluxes between agricultural land and the atmosphere linked to food production are relatively small, although significant carbon emissions are associated with degradation of organic soils for plantations in tropical regions (Smith et al 2007, FAO 2012). Population growth and shifts in dietary patterns toward more meat and dairy consumption will lead to

  11. A Comparison of Selected Bibliographic Database Subject Overlap for Agricultural Information

    ERIC Educational Resources Information Center

    Ritchie, Stephanie M.; Young, Lauren M.; Sigman, Jessica

    2018-01-01

    Agricultural researchers and science librarians must understand which research literature databases provide the most comprehensive coverage of agricultural subjects to support their inquiries. Once the domain of a few specialized databases, agricultural research literature is now covered by broad, multidisciplinary databases. The purpose of this…

  12. Strategies To Promote Agricultural Literacy.

    ERIC Educational Resources Information Center

    1992

    The purpose of the agricultural literacy effort has been to produce informed citizens able to participate more fully in the establishment of policies that support a highly competitive agricultural industry in this country and abroad. In their article titled, "Position Statement on Agricultural Literacy," Russell, McCracken, and Miller…

  13. Is "the perfect model" really needed? - Analysis of the quality level of climate information necessary for supporting adaptation in agriculture and forestry

    NASA Astrophysics Data System (ADS)

    Gálos, Borbála; Ostler, Wolf-Uwe; Csáki, Péter; Bidló, András; Panferov, Oleg

    2016-04-01

    Recent results of climate science (e.g. IPCC AR5, 2013) and statements of climate policy (e.g. Paris Agreement) confirm that climate change is an ongoing issue. The consequences will be noticeable for a long time even if the 2 Degree goal is reached. Therefore, action plans are necessary for adaptation and mitigation on national and international level. Forestry and agriculture are especially threatened by the probable increase of the frequency and/or intensity of climate extremes. Severe impacts of recurrent droughts/heat waves that were observed in the last decades in the sensitive and vulnerable ecosystems and regions are very likely to occur with increasing probability throughout the 21st century. For the adequate climate impact assessments, for adaptation strategies as well as for supporting decisions in the above mentioned sectors the reliable information on the long-term climate tendencies and on ecosystem responses are required. Here are the two major problems: on the one hand the information on current climate and future climate developments are highly uncertain. On the other hand, due to limited knowledge on ecosystem responses, it is difficult to define how certain or accurate the provided climate data should be for the plausible application in agricultural/forestry research and practice. Considering agriculture and forestry, our research is focusing on the following questions: • What is the climate information demand of practice and impact research in the two sectors? • What quality level of climate information is necessary for adaptation support? • How does the accuracy of climate input affect the results of the climate impact assessments? The agriculture and forestry operate at two very different time scales and have a different reaction times and adaptation capacities. Agriculture requires short-term information on current conditions and short-/medium-term weather forecast. To assess the degree of information accuracy required by practical

  14. Capability of Hyperspectral data in Spatial Variability Distribution of Chlorophyll and Water Stress in Rice Agriculture System

    NASA Astrophysics Data System (ADS)

    Moharana, S.; Dutta, S.

    2016-12-01

    Abstract : The mapping and analysis of spatial variability within the field is a challenging task. However, field variability of a single vegetation cover does not give satisfactory results mainly due to low spectral resolution and non-availability of remote sensing data. From the NASA Earth Observing-1 (EO-1) satellite data, spatial distribution of biophysical parameters like chlorophyll and relative water content in a rice agriculture system is carried out in the present study. Hyperion L1R product composed of 242 spectral bands with 30m spatial resolution was acquired for Assam, India. This high dimensional data is allowed for pre-processing to get an atmospherically corrected imagery. Moreover, ground based hyperspectral measurements are collected from experimental rice fields from the study site using hand held ASD spectroradiometer (350-1050 nm). Published indices specifically designed for chlorophyll (OASVI, mSR, and MTCI indices) and water content (WI and WBI indices) are selected based on stastical performance of the in-situ hyperspectral data. Index models are established for the respective biophysical parameters and observed that the aforementioned indices followed different linear and nonlinear relationships which are completely different from the published indices. By employing the presently developed relationships, spatial variation of total chlorophyll and water stress are mapped for a rice agriculture system from Hyperion imagery. The findings showed that, the variation of chlorophyll and water content ranged from 1.77-10.61mg/g and 40-90% respectively for the studied rice agriculture system. The spatial distribution of these parameters resulted from presently developed index models are well captured from Hyperion imagery and they have good agreement with observed field based chlorophyll (1.14-7.26 mg/g) and water content (60-95%) of paddy crop. This study can be useful in providing essential information to assess the paddy field heterogeneity in an

  15. Informing agricultural management - The challenge of modelling grassland phenology

    NASA Astrophysics Data System (ADS)

    Calanca, Pierluigi

    2017-04-01

    Grasslands represent roughly 70% of the agricultural land worldwide, are the backbone of animal husbandry and contribute substantially to agricultural income. At the farm scale a proper management of meadows and pastures is necessary to attain a balance between forage production and consumption. A good hold on grassland phenology is of paramount importance in this context, because forage quantity and quality critically depend on the developmental stage of the sward. Traditionally, empirical rules have been used to advise farmers in this respect. Yet the provision of supporting information for decision making would clearly benefit from dedicated tools that integrate reliable models of grassland phenology. As with annual crops, in process-based models grassland phenology is usually described as a linear function of so-called growing degree days, whereby data from field trials and monitoring networks are used to calibrate the relevant parameters. It is shown in this contribution that while the approach can provide reasonable estimates of key developmental stages in an average sense, it fails to account for the variability observed in managed grasslands across sites and years, in particular concerning the start of the growing season. The analysis rests on recent data from western Switzerland, which serve as a benchmark for simulations carried out with grassland models of increasing complexity. Reasons for an unsatisfactory model performance and possibilities to improve current models are discussed, including the necessity to better account for species composition, late season management decisions, as well as plant physiological processes taking place during the winter season. The need to compile existing, and collect new data doe managed grasslands is also stressed.

  16. Advancing Technology: GPS and GIS Outreach Training for Agricultural Producers

    ERIC Educational Resources Information Center

    Flynn, Allison; Arnold, Shannon

    2010-01-01

    The use of the Global Positioning System (GPS) and Global Information Systems (GIS) has made significant impacts on agricultural production practices. However, constant changes in the technologies require continuing educational updates. The outreach program described here introduces the operation, use, and applications of GPS receivers and GIS…

  17. Vulnerability of Rehabilitated Agricultural Production Systems to Invasion by Nontarget Plant Species

    NASA Astrophysics Data System (ADS)

    Baer, Sara G.; Engle, David M.; Knops, Johannes M. H.; Langeland, Kenneth A.; Maxwell, Bruce D.; Menalled, Fabian D.; Symstad, Amy J.

    2009-02-01

    Vast areas of arable land have been retired from crop production and “rehabilitated” to improved system states through landowner incentive programs in the United States (e.g., Conservation and Wetland Reserve Programs), as well as Europe (i.e., Agri-Environment Schemes). Our review of studies conducted on invasion of rehabilitated agricultural production systems by nontarget species elucidates several factors that may increase the vulnerability of these systems to invasion. These systems often exist in highly fragmented and agriculturally dominated landscapes, where propagule sources of target species for colonization may be limited, and are established under conditions where legacies of past disturbance persist and prevent target species from persisting. Furthermore, rehabilitation approaches often do not include or successfully attain all target species or historical ecological processes (e.g., hydrology, grazing, and/or fire cycles) key to resisting invasion. Uncertainty surrounds ways in which nontarget species may compromise long term goals of improving biodiversity and ecosystem services through rehabilitation efforts on former agricultural production lands. This review demonstrates that more studies are needed on the extent and ecological impacts of nontarget species as related to the goals of rehabilitation efforts to secure current and future environmental benefits arising from this widespread conservation practice.

  18. A New Era in Agriculture: Reinventing Agricultural Education for the Year 2020.

    ERIC Educational Resources Information Center

    National Council for Agricultural Education, Alexandria, VA.

    The Reinventing Agricultural Education for the Year 2020 initiative brought together a diverse group of people from across the nation to create a new vision for agriculture education. The group envisioned a system of agricultural education beginning in early childhood and continuing throughout life. The group examined agricultural education's…

  19. Information technology and innovative drainage management practices for selenium load reduction from irrigated agriculture to provide stakeholder assurances and meet contaminant mass loading policy objectives

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Quinn, N.W.T.

    2009-10-15

    Many perceive the implementation of environmental regulatory policy, especially concerning non-point source pollution from irrigated agriculture, as being less efficient in the United States than in many other countries. This is partly a result of the stakeholder involvement process but is also a reflection of the inability to make effective use of Environmental Decision Support Systems (EDSS) to facilitate technical information exchange with stakeholders and to provide a forum for innovative ideas for controlling non-point source pollutant loading. This paper describes one of the success stories where a standardized Environmental Protection Agency (EPA) methodology was modified to better suit regulationmore » of a trace element in agricultural subsurface drainage and information technology was developed to help guide stakeholders, provide assurances to the public and encourage innovation while improving compliance with State water quality objectives. The geographic focus of the paper is the western San Joaquin Valley where, in 1985, evapoconcentration of selenium in agricultural subsurface drainage water, diverted into large ponds within a federal wildlife refuge, caused teratogenecity in waterfowl embryos and in other sensitive wildlife species. The fallout from this environmental disaster was a concerted attempt by State and Federal water agencies to regulate non-point source loads of the trace element selenium. The complexity of selenium hydrogeochemistry, the difficulty and expense of selenium concentration monitoring and political discord between agricultural and environmental interests created challenges to the regulation process. Innovative policy and institutional constructs, supported by environmental monitoring and the web-based data management and dissemination systems, provided essential decision support, created opportunities for adaptive management and ultimately contributed to project success. The paper provides a retrospective on the contentious

  20. The Role of Aerospace Technology in Agriculture. The 1977 Summer Faculty Fellowship Program in Engineering Systems Design

    NASA Technical Reports Server (NTRS)

    1977-01-01

    Possibilities were examined for improving agricultural productivity through the application of aerospace technology. An overview of agriculture and of the problems of feeding a growing world population are presented. The present state of agriculture, of plant and animal culture, and agri-business are reviewed. Also analyzed are the various systems for remote sensing, particularly applications to agriculture. The report recommends additional research and technology in the areas of aerial application of chemicals, of remote sensing systems, of weather and climate investigations, and of air vehicle design. Also considered in detail are the social, legal, economic, and political results of intensification of technical applications to agriculture.

  1. Agriculture: Laws and Regulations that Apply to Your Agricultural Operation by Farm Activity

    EPA Pesticide Factsheets

    A general description of EPA’s requirements applicable to agriculture, and should only be used as a guide. Since rules and regulations may change use this information is a starting place to determine which regulations apply to your agricultural operation.

  2. Nitrogen and phosphorus losses from agricultural systems in China: a meta-analysis.

    PubMed

    Cao, Di; Cao, Wenzhi; Fang, Jing; Cai, Longyan

    2014-08-30

    Studies worldwide have indicated that agricultural pollution is the main source of nitrogen and phosphorus (N and P) in surface waters. A systematic understanding of N and P sources and sinks in agricultural systems is important for selecting the appropriate remedial strategies to control nutrient losses and water pollution. Based on nationwide data and a long-term monitoring program in Southeast China, the nationwide spatial and temporal patterns of N and P losses and the relationships between such losses and N and P inputs and rainfall were analyzed. The results showed that the annual nutrient losses from agricultural systems in China strongly varied, and the N/P values ranged from 0.01 to 51.0, with a majority at approximately 0-20, and an arithmetic mean of 9.73; these values mostly overlap the suitable range of N/P (6-15) for red bloom algae. Copyright © 2014 Elsevier Ltd. All rights reserved.

  3. Remote sensing with unmanned aircraft systems for precision agriculture applications

    USDA-ARS?s Scientific Manuscript database

    The Federal Aviation Administration is revising regulations for using unmanned aircraft systems (UAS) in the national airspace. An important potential application of UAS may be as a remote-sensing platform for precision agriculture, but simply down-scaling remote sensing methodologies developed usi...

  4. Technologies and standards in the information systems of the soil-geographic database of Russia

    NASA Astrophysics Data System (ADS)

    Golozubov, O. M.; Rozhkov, V. A.; Alyabina, I. O.; Ivanov, A. V.; Kolesnikova, V. M.; Shoba, S. A.

    2015-01-01

    The achievements, problems, and challenges of the modern stage of the development of the Soil-Geographic Database of Russia (SGDBR) and the history of this project are outlined. The structure of the information system of the SGDBR as an internet-based resource to collect data on soil profiles and to integrate the geographic and attribute databases on the same platform is described. The pilot project in Rostov oblast illustrates the inclusion of regional information in the SGDBR and its application for solving practical problems. For the first time in Russia, the GeoRSS standard based on the structured hypertext representation of the geographic and attribute information has been applied in the state system for the agromonitoring of agricultural lands in Rostov oblast and information exchange through the internet.

  5. Agricultural residue availability in the United States.

    PubMed

    Haq, Zia; Easterly, James L

    2006-01-01

    The National Energy Modeling System (NEMS) is used by the Energy Information Administration (EIA) to forecast US energy production, consumption, and price trends for a 25-yr-time horizon. Biomass is one of the technologies within NEMS, which plays a key role in several scenarios. An endogenously determined biomass supply schedule is used to derive the price-quantity relationship of biomass. There are four components to the NEMS biomass supply schedule including: agricultural residues, energy crops, forestry residues, and urban wood waste/mill residues. The EIA's Annual Energy Outlook 2005 includes updated estimates of the agricultural residue portion of the biomass supply schedule. The changes from previous agricultural residue supply estimates include: revised assumptions concerning corn stover and wheat straw residue availabilities, inclusion of non-corn and non-wheat agricultural residues (such as barley, rice straw, and sugarcane bagasse), and the implementation of assumptions concerning increases in no-till farming. This article will discuss the impact of these changes on the supply schedule.

  6. Application of the Doppler lidar system to agricultural burning and air-sea interactions

    NASA Technical Reports Server (NTRS)

    Fitzjarrald, D.

    1980-01-01

    The Doppler lidar system is potentially a very powerful measurement system. Three areas concerning the system are discussed: (1) error analysis of the system to verify the results; (2) application of the system to agricultural burning in California central valley; and (3) oceanographic possibilities of the system.

  7. A New Trans-Disciplinary Approach to Regional Integrated Assessment of Climate Impact and Adaptation in Agricultural Systems (Invited)

    NASA Astrophysics Data System (ADS)

    Antle, J. M.; Valdivia, R. O.; Jones, J.; Rosenzweig, C.; Ruane, A. C.

    2013-12-01

    This presentation provides an overview of the new methods developed by researchers in the Agricultural Model Inter-comparison and Improvement Project (AgMIP) for regional climate impact assessment and analysis of adaptation in agricultural systems. This approach represents a departure from approaches in the literature in several dimensions. First, the approach is based on the analysis of agricultural systems (not individual crops) and is inherently trans-disciplinary: it is based on a deep collaboration among a team of climate scientists, agricultural scientists and economists to design and implement regional integrated assessments of agricultural systems. Second, in contrast to previous approaches that have imposed future climate on models based on current socio-economic conditions, this approach combines bio-physical and economic models with a new type of pathway analysis (Representative Agricultural Pathways) to parameterize models consistent with a plausible future world in which climate change would be occurring. Third, adaptation packages for the agricultural systems in a region are designed by the research team with a level of detail that is useful to decision makers, such as research administrators and donors, who are making agricultural R&D investment decisions. The approach is illustrated with examples from AgMIP's projects currently being carried out in Africa and South Asia.

  8. Sustainable agriculture, renewable energy and rural development: An analysis of bio-energy systems used by small farms in China

    NASA Astrophysics Data System (ADS)

    Zhou, Aiming

    Renewable energy needs to be incorporated into the larger picture of sustainable agriculture and rural development if it is to serve the needs of the 3.25 billion human beings whose livelihoods and based on rural economies and ecologies. For rural communities, increasing agriculture production is key to raising income generation and improving social well-being, but this linkage depends also upon not harming natural resources. This dissertation provides an overview of recent Chinese agriculture history, discusses the role of energy in contemporary's China's agriculture and rural development, and introduces a new approach---the integrated agricultural bio-energy (IAB) system---to address the challenge of sustainable agriculture and rural development. IAB is an innovative design and offers a renewable energy solution for improving agricultural productivity, realizing efficient resource management, and enhancing social well-being for rural development. In order to understand how the IAB system can help to achieve sustainable agricultural and rural development in China, a comprehensive evaluation methodology is developed from health, ecological, energy and economic (HE3) perspectives. With data from surveys of 200 small farm households, a detailed study of IAB and conventional agricultural energy (CAE) system applications (in China's Liaoning and Yunnan Province) is conducted. The HE3 impacts of IAB systems in China's rural areas (compared to existing CAE systems) are quantified. The dissertation analyzes the full life-cycle costs and benefits of IAB systems, including their contributions to energy savings, CO2 emissions reduction, agricultural waste reduction, increased rural incomes, better rural health, and improved ecosystem sustainability. The analysis relies upon qualitative and quantitative modeling in order to produce a comprehensive assessment of IAB system impacts. Finally, the dissertation discusses the barriers to greater diffusion of the IAB systems

  9. National Soil Information System in Turkey

    NASA Astrophysics Data System (ADS)

    Emrah Erdogan, Hakki; Sahin, Mehmet; Sahin, Yuksel

    2013-04-01

    Land consolidation (LC) represents complexity if management, legal, economic and technical procedures realized in order to adjust the land structure according to actual human preferences and needs. It includes changes in ownership rights to land and other real estate property, exchange of parcels among owners, changes in parcel borders, parcel size and shape, joining and dividing of parcels, changes in land use, construction works as roads, bridges, water changes etc.. Since the subject of LC is agricultural lands, the quality of consolidation depends on the quality of soil data. General Directorate of Agrarian Reform (GDAR) is the responsible institution on land consolidation whole of Turkey. Under GDAR, National Soil Information System (NSIS) has been build up with base soil data in relevant scale (1:5000). NSIS contain detailed information on soil chemical and physical properties, current land use, parent material, land capability class, Storie Index Values. SI were used on land consolidation, land use planning and farm development services. LCC was used for land distribution, rental land; define of village settlement, consolidation, expropriation, reconstruction, reclamation, non-agricultural usage. LCC were also specified to subclasses in four different limited factors as i) flow and erosion risk ii) requirement of drainage and soil moisture iii) Limits of soil tillage and root (shallow soils, low water retention capacity, stony, salty .etc) iv) climatic limits. In this study, digital soil survey and mapping project located in Yumurtalik, Adana is presented as an example of NSIS data structure. The project cover an area of 45709 ha that include crop lands as an area of 28528 ha and other land use (urban, roads..etc) as an area of 17181 ha. Soil profiles were described in 45 different points and totally 1279 soil samples were collected in field study and the check bore hole were made in 3170 points.

  10. Feeding the world healthily: the challenge of measuring the effects of agriculture on health

    PubMed Central

    Hawkesworth, Sophie; Dangour, Alan D.; Johnston, Deborah; Lock, Karen; Poole, Nigel; Rushton, Jonathan; Uauy, Ricardo; Waage, Jeff

    2010-01-01

    Agricultural production, food systems and population health are intimately linked. While there is a strong evidence base to inform our knowledge of what constitutes a healthy human diet, we know little about actual food production or consumption in many populations and how developments in the food and agricultural system will affect dietary intake patterns and health. The paucity of information on food production and consumption is arguably most acute in low- and middle-income countries, where it is most urgently needed to monitor levels of under-nutrition, the health impacts of rapid dietary transition and the increasing ‘double burden’ of nutrition-related disease. Food availability statistics based on food commodity production data are currently widely used as a proxy measure of national-level food consumption, but using data from the UK and Mexico we highlight the potential pitfalls of this approach. Despite limited resources for data collection, better systems of measurement are possible. Important drivers to improve collection systems may include efforts to meet international development goals and partnership with the private sector. A clearer understanding of the links between the agriculture and food system and population health will ensure that health becomes a critical driver of agricultural change. PMID:20713404

  11. Uncertainty in Agricultural Impact Assessment

    NASA Technical Reports Server (NTRS)

    Wallach, Daniel; Mearns, Linda O.; Rivington, Michael; Antle, John M.; Ruane, Alexander C.

    2014-01-01

    This chapter considers issues concerning uncertainty associated with modeling and its use within agricultural impact assessments. Information about uncertainty is important for those who develop assessment methods, since that information indicates the need for, and the possibility of, improvement of the methods and databases. Such information also allows one to compare alternative methods. Information about the sources of uncertainties is an aid in prioritizing further work on the impact assessment method. Uncertainty information is also necessary for those who apply assessment methods, e.g., for projecting climate change impacts on agricultural production and for stakeholders who want to use the results as part of a decision-making process (e.g., for adaptation planning). For them, uncertainty information indicates the degree of confidence they can place in the simulated results. Quantification of uncertainty also provides stakeholders with an important guideline for making decisions that are robust across the known uncertainties. Thus, uncertainty information is important for any decision based on impact assessment. Ultimately, we are interested in knowledge about uncertainty so that information can be used to achieve positive outcomes from agricultural modeling and impact assessment.

  12. Information and Communication Technologies as Agricultural Extension Tools: A Survey among Farmers in West Macedonia, Greece

    ERIC Educational Resources Information Center

    Anastasios, Michailidis; Koutsouris, Alex; Konstadinos, Mattas

    2010-01-01

    This article critically assesses the potential of information and communication technologies (ICTs) as agricultural extension tools. Specifically, the purpose of the current piece of work is to identify the extent of the use of ICTs on farms, look into farmers' characteristics as related to ICTs' adoption and explore farmers' preferred extension…

  13. Building the capacity of Extension educators to address climate change and agricultural sustainability

    NASA Astrophysics Data System (ADS)

    Pathak, T. B.; Doll, J. E.

    2016-12-01

    It is evident that changes in climate will adversely impact various sectors including agriculture and natural resources worldwide. Increased temperatures, longer than normal growing seasons, more frequent extreme weather events, decreased winter snowpack, earlier snowmelt, and vulnerability to pest are some of the examples of changes and impacts documented in the literature. According to the IPCC 2007, mainstreaming` climate change issues into decision-making is an important aspect for sustainability. Due to the lack of locally and regionally focused educational programs, it becomes difficult for people to translate the science into meaningful actions. One of the strengths of the Cooperative Extension system is that it is one of the most trusted sources of science-based information that is locally relevant. In order to utilize strong network of Cooperative Extension system, we implemented a project to provide regionally tailored climate change and sustainable agriculture professional development for Cooperative Extension and Natural Resources Conservation Services (NRCS) educators in 12 states in north central US. We conducted these activities: 1) creation and dissemination of a Climate Change and Sustainable Agriculture Resource Handbook and a curriculum and 2) two climate change and sustainable agriculture workshops. In general, this project resulted in improved ability of Cooperative Extension academics to respond to climate change questions with science-based information. Several workshop attendees also integrated information provided to them through resource handbook and curriculum into their existing programming. In the long-term, we hope these programs will result in educators and farmers making informed choices and recommendations that lead to sustainable agriculture in the face of climate change.

  14. Global and regional phosphorus budgets in agricultural systems and their implications for phosphorus-use efficiency

    NASA Astrophysics Data System (ADS)

    Lun, Fei; Liu, Junguo; Ciais, Philippe; Nesme, Thomas; Chang, Jinfeng; Wang, Rong; Goll, Daniel; Sardans, Jordi; Peñuelas, Josep; Obersteiner, Michael

    2018-01-01

    The application of phosphorus (P) fertilizer to agricultural soils increased by 3.2 % annually from 2002 to 2010. We quantified in detail the P inputs and outputs of cropland and pasture and the P fluxes through human and livestock consumers of agricultural products on global, regional, and national scales from 2002 to 2010. Globally, half of the total P inputs into agricultural systems accumulated in agricultural soils during this period, with the rest lost to bodies of water through complex flows. Global P accumulation in agricultural soil increased from 2002 to 2010 despite decreases in 2008 and 2009, and the P accumulation occurred primarily in cropland. Despite the global increase in soil P, 32 % of the world's cropland and 43 % of the pasture had soil P deficits. Increasing soil P deficits were found for African cropland vs. increasing P accumulation in eastern Asia. European and North American pasture had a soil P deficit because the continuous removal of biomass P by grazing exceeded P inputs. International trade played a significant role in P redistribution among countries through the flows of P in fertilizer and food among countries. Based on country-scale budgets and trends we propose policy options to potentially mitigate regional P imbalances in agricultural soils, particularly by optimizing the use of phosphate fertilizer and the recycling of waste P. The trend of the increasing consumption of livestock products will require more P inputs to the agricultural system, implying a low P-use efficiency and aggravating P-stock scarcity in the future. The global and regional phosphorus budgets and their PUEs in agricultural systems are publicly available at https://doi.pangaea.de/10.1594/PANGAEA.875296.

  15. Readership Study of an Agricultural Magazine.

    ERIC Educational Resources Information Center

    Holmes, Ted

    Since the fall of 1957, the Louisiana Agricultural Experiment Station has published a semi-scientific quarterly magazine, "Louisiana Agriculture," to present information on the station's research to Louisiana citizens, particularly public officials, members of the agribusiness sector, science-oriented farmers, agriculture and science…

  16. Ohio Agricultural Business and Production Systems. Technical Competency Profile (TCP).

    ERIC Educational Resources Information Center

    Ray, Gayl M.; Kershaw, Isaac; Mokma, Arnie

    This document describes the essential competencies from secondary through post-secondary associate degree programs for a career in agricultural business and production systems. Following an introduction, the Ohio College Tech Prep standards and program, and relevant definitions are described. Next are the technical competency profiles for these…

  17. Integrated crop–livestock systems: Strategies to achieve synergy between agricultural production and environmental quality

    USDA-ARS?s Scientific Manuscript database

    A need to increase agricultural production across the world for food security appears to be at odds with the urgency to reduce agriculture’s negative environmental impacts. We suggest that a cause of this dichotomy is loss of diversity within agricultural systems at field, farm and landscape scales....

  18. Bushland Evapotranspiration and Agricultural Remote Sensing System (BEARS) software

    NASA Astrophysics Data System (ADS)

    Gowda, P. H.; Moorhead, J.; Brauer, D. K.

    2017-12-01

    Evapotranspiration (ET) is a major component of the hydrologic cycle. ET data are used for a variety of water management and research purposes such as irrigation scheduling, water and crop modeling, streamflow, water availability, and many more. Remote sensing products have been widely used to create spatially representative ET data sets which provide important information from field to regional scales. As UAV capabilities increase, remote sensing use is likely to also increase. For that purpose, scientists at the USDA-ARS research laboratory in Bushland, TX developed the Bushland Evapotranspiration and Agricultural Remote Sensing System (BEARS) software. The BEARS software is a Java based software that allows users to process remote sensing data to generate ET outputs using predefined models, or enter custom equations and models. The capability to define new equations and build new models expands the applicability of the BEARS software beyond ET mapping to any remote sensing application. The software also includes an image viewing tool that allows users to visualize outputs, as well as draw an area of interest using various shapes. This software is freely available from the USDA-ARS Conservation and Production Research Laboratory website.

  19. Stakeholder Definition for Indonesian Integrated Agriculture Information System (IAIS)

    NASA Astrophysics Data System (ADS)

    Budi Santoso, Halim; Delima, Rosa

    2017-03-01

    Stakeholders plays an important roles to determine the system requirements. Stakeholders are people or organizations that has an interest to the enterprise. Timely and effective consultation of relevant stakeholders is a paramount importance in the requirements engineering process. From the research and analysis of system stakeholder finds that there are four stakeholder groups in IAIS. Stakeholder analysis is being implemented by identifying stakeholder, stakeholder category, and analysis interaction between stakeholders.

  20. A preliminary study of the statistical analyses and sampling strategies associated with the integration of remote sensing capabilities into the current agricultural crop forecasting system

    NASA Technical Reports Server (NTRS)

    Sand, F.; Christie, R.

    1975-01-01

    Extending the crop survey application of remote sensing from small experimental regions to state and national levels requires that a sample of agricultural fields be chosen for remote sensing of crop acreage, and that a statistical estimate be formulated with measurable characteristics. The critical requirements for the success of the application are reviewed in this report. The problem of sampling in the presence of cloud cover is discussed. Integration of remotely sensed information about crops into current agricultural crop forecasting systems is treated on the basis of the USDA multiple frame survey concepts, with an assumed addition of a new frame derived from remote sensing. Evolution of a crop forecasting system which utilizes LANDSAT and future remote sensing systems is projected for the 1975-1990 time frame.

  1. Global Agricultural Monitoring (GLAM) using MODAPS and LANCE Data Products

    NASA Astrophysics Data System (ADS)

    Anyamba, A.; Pak, E. E.; Majedi, A. H.; Small, J. L.; Tucker, C. J.; Reynolds, C. A.; Pinzon, J. E.; Smith, M. M.

    2012-12-01

    The Global Inventory Modeling and Mapping Studies / Global Agricultural Monitoring (GIMMS GLAM) system is a web-based geographic application that offers Moderate Resolution Imaging Spectroradiometer (MODIS) imagery and user interface tools to data query and plot MODIS NDVI time series. The system processes near real-time and science quality Terra and Aqua MODIS 8-day composited datasets. These datasets are derived from the MOD09 and MYD09 surface reflectance products which are generated and provided by NASA/GSFC Land and Atmosphere Near Real-time Capability for EOS (LANCE) and NASA/GSFC MODIS Adaptive Processing System (MODAPS). The GIMMS GLAM system is developed and provided by the NASA/GSFC GIMMS group for the U.S. Department of Agriculture / Foreign Agricultural Service / International Production Assessment Division (USDA/FAS/IPAD) Global Agricultural Monitoring project (GLAM). The USDA/FAS/IPAD mission is to provide objective, timely, and regular assessment of the global agricultural production outlook and conditions affecting global food security. This system was developed to improve USDA/FAS/IPAD capabilities for making operational quantitative estimates for crop production and yield estimates based on satellite-derived data. The GIMMS GLAM system offers 1) web map imagery including Terra & Aqua MODIS 8-day composited NDVI, NDVI percent anomaly, and SWIR-NIR-Red band combinations, 2) web map overlays including administrative and 0.25 degree Land Information System (LIS) shape boundaries, and crop land cover masks, and 3) user interface tools to select features, data query, plot, and download MODIS NDVI time series.

  2. A coupled human-natural system to assess the operational value of weather and climate services for agriculture

    NASA Astrophysics Data System (ADS)

    Li, Yu; Giuliani, Matteo; Castelletti, Andrea

    2017-09-01

    Recent advances in weather and climate (W&C) services are showing increasing forecast skills over seasonal and longer timescales, potentially providing valuable support in informing decisions in a variety of economic sectors. Quantifying this value, however, might not be straightforward as better forecast quality does not necessarily imply better decisions by the end users, especially when forecasts do not reach their final users, when providers are not trusted, or when forecasts are not appropriately understood. In this study, we contribute an assessment framework to evaluate the operational value of W&C services for informing agricultural practices by complementing traditional forecast quality assessments with a coupled human-natural system behavioural model which reproduces farmers' decisions. This allows a more critical assessment of the forecast value mediated by the end users' perspective, including farmers' risk attitudes and behavioural factors. The application to an agricultural area in northern Italy shows that the quality of state-of-the-art W&C services is still limited in predicting the weather and the crop yield of the incoming agricultural season, with ECMWF annual products simulated by the IFS/HOPE model resulting in the most skillful product in the study area. However, we also show that the accuracy of estimating crop yield and the probability of making optimal decisions are not necessarily linearly correlated, with the overall assessment procedure being strongly impacted by the behavioural attitudes of farmers, which can produce rank reversals in the quantification of the W&C services operational value depending on the different perceptions of risk and uncertainty.

  3. United States Department of Agriculture/Agricultural Research Service (USDA-ARS) Eastern Regional Research Center Core Technologies

    PubMed Central

    Nunez, A.; Strahan, G.; Soroka, D.S.; Damert, W.; Needleman, D.

    2011-01-01

    The Core Technologies (CT) unit, located at the Eastern Regional Research Center (ERRC), is a centralized resource of specialized instrumentation and technologies. Its objective is to provide supplementary research data processing, interpretation, analysis and consultation for a broad range of research programs approved by the Agricultural Research Service (ARS), the in-house research arm of the United States Department of Agriculture. The CT unit is comprised of four research related components: genetic analysis, proteomicsbiopolymers mass spectrometry, electron microscopy, and magnetic resonance spectroscopy (NMR). In addition, the Research Data Systems, the information pipeline of the CT, provides the means to facilitate data distribution to researchers, stakeholders, and the general public. The availability of integrated resource laboratories assures professional and dependable support to the goals of the ARS community.

  4. Information Systems Administration. Course Seven. Information Systems Curriculum.

    ERIC Educational Resources Information Center

    O'Neil, Sharon Lund; Everett, Donna R.

    This course is the seventh of seven in the Information Systems curriculum. The purpose of this capstone course is to build on skills acquired in the earlier courses. Emphasis is placed on realistic situations and challenges that exist in the automated office and for which information systems technology and skills are pertinent. These components…

  5. Antimicrobial peptide production and plant-based expression systems for medical and agricultural biotechnology.

    PubMed

    Holaskova, Edita; Galuszka, Petr; Frebort, Ivo; Oz, M Tufan

    2015-11-01

    Antimicrobial peptides (AMPs) are vital components of the innate immune system of nearly all living organisms. They generally act in the first line of defense against various pathogenic bacteria, parasites, enveloped viruses and fungi. These low molecular mass peptides are considered prospective therapeutic agents due to their broad-spectrum rapid activity, low cytotoxicity to mammalian cells and unique mode of action which hinders emergence of pathogen resistance. In addition to medical use, AMPs can also be employed for development of innovative approaches for plant protection in agriculture. Conferred disease resistance by AMPs might help us surmount losses in yield, quality and safety of agricultural products due to plant pathogens. Heterologous expression in plant-based systems, also called plant molecular farming, offers cost-effective large-scale production which is regarded as one of the most important factors for clinical or agricultural use of AMPs. This review presents various types of AMPs as well as plant-based platforms ranging from cell suspensions to whole plants employed for peptide production. Although AMP production in plants holds great promises for medicine and agriculture, specific technical limitations regarding product yield, function and stability still remain. Additionally, establishment of particular stable expression systems employing plants or plant tissues generally requires extended time scale for platform development compared to certain other heterologous systems. Therefore, fast and promising tools for evaluation of plant-based expression strategies and assessment of function and stability of the heterologously produced AMPs are critical for molecular farming and plant protection. Copyright © 2015 Elsevier Inc. All rights reserved.

  6. Agriculture Cluster Brief. Vocational Education in Oregon.

    ERIC Educational Resources Information Center

    Galbraith, Gordon

    This guide sets forth minimum approval criteria for vocational agriculture cluster programs in Oregon. The agriculture cluster program includes instruction in six areas: animal science, soil science, plant science, agricultural economics, agriculture mechanics, and leadership development. The information in the guide is intended for use by…

  7. Global economic trade-offs between wild nature and tropical agriculture

    PubMed Central

    Webb, Edward L.; Symes, William S.; Koh, Lian P.

    2017-01-01

    Global demands for agricultural and forestry products provide economic incentives for deforestation across the tropics. Much of this deforestation occurs with a lack of information on the spatial distribution of benefits and costs of deforestation. To inform global sustainable land-use policies, we combine geographic information systems (GIS) with a meta-analysis of ecosystem services (ES) studies to perform a spatially explicit analysis of the trade-offs between agricultural benefits, carbon emissions, and losses of multiple ecosystem services because of tropical deforestation from 2000 to 2012. Even though the value of ecosystem services presents large inherent uncertainties, we find a pattern supporting the argument that the externalities of destroying tropical forests are greater than the current direct economic benefits derived from agriculture in all cases bar one: when yield and rent potentials of high-value crops could be realized in the future. Our analysis identifies the Atlantic Forest, areas around the Gulf of Guinea, and Thailand as areas where agricultural conversion appears economically efficient, indicating a major impediment to the long-term financial sustainability of Reducing Emissions from Deforestation and forest Degradation (REDD+) schemes in those countries. By contrast, Latin America, insular Southeast Asia, and Madagascar present areas with low agricultural rents (ARs) and high values in carbon stocks and ES, suggesting that they are economically viable conservation targets. Our study helps identify optimal areas for conservation and agriculture together with their associated uncertainties, which could enhance the efficiency and sustainability of pantropical land-use policies and help direct future research efforts. PMID:28732022

  8. Global economic trade-offs between wild nature and tropical agriculture.

    PubMed

    Carrasco, Luis R; Webb, Edward L; Symes, William S; Koh, Lian P; Sodhi, Navjot S

    2017-07-01

    Global demands for agricultural and forestry products provide economic incentives for deforestation across the tropics. Much of this deforestation occurs with a lack of information on the spatial distribution of benefits and costs of deforestation. To inform global sustainable land-use policies, we combine geographic information systems (GIS) with a meta-analysis of ecosystem services (ES) studies to perform a spatially explicit analysis of the trade-offs between agricultural benefits, carbon emissions, and losses of multiple ecosystem services because of tropical deforestation from 2000 to 2012. Even though the value of ecosystem services presents large inherent uncertainties, we find a pattern supporting the argument that the externalities of destroying tropical forests are greater than the current direct economic benefits derived from agriculture in all cases bar one: when yield and rent potentials of high-value crops could be realized in the future. Our analysis identifies the Atlantic Forest, areas around the Gulf of Guinea, and Thailand as areas where agricultural conversion appears economically efficient, indicating a major impediment to the long-term financial sustainability of Reducing Emissions from Deforestation and forest Degradation (REDD+) schemes in those countries. By contrast, Latin America, insular Southeast Asia, and Madagascar present areas with low agricultural rents (ARs) and high values in carbon stocks and ES, suggesting that they are economically viable conservation targets. Our study helps identify optimal areas for conservation and agriculture together with their associated uncertainties, which could enhance the efficiency and sustainability of pantropical land-use policies and help direct future research efforts.

  9. Evaluation of health information systems research in information systems research: A meta-analysis.

    PubMed

    Haried, Peter; Claybaugh, Craig; Dai, Hua

    2017-04-01

    Given the importance of the health-care industry and the promise of health information systems, researchers are encouraged to build on the shoulders of giants as the saying goes. The health information systems field has a unique opportunity to learn from and extend the work that has already been done by the highly correlated information systems field. As a result, this research article presents a past, present and future meta-analysis of health information systems research in information systems journals over the 2000-2015 time period. Our analysis reviewed 126 articles on a variety of topics related to health information systems research published in the "Senior Scholars" list of the top eight ranked information systems academic journals. Across the selected information systems academic journals, our findings compare research methodologies applied, health information systems topic areas investigated and research trends. Interesting results emerge in the range and evolution of health information systems research and opportunities for health information systems researchers and practitioners to consider moving forward.

  10. The economic value of remote sensing of earth resources from space: An ERTS overview and the value of continuity of service. Volume 3: Intensive use of living resources, agriculture. Part 3: The integrated impact of improved (ERS) information on US agricultural commodities

    NASA Technical Reports Server (NTRS)

    Seidel, A. D.

    1974-01-01

    The economic value of information produced by an assumed operational version of an earth resources survey satellite of the ERTS class is assessed. The theoretical capability of an ERTS system to provide improved agricultural forecasts is analyzed and this analysis is used as a reasonable input to the econometric methods derived by ECON. An econometric investigation into the markets for agricultural commodities is summarized. An overview of the effort including the objectives, scopes, and architecture of the analysis, and the estimation strategy employed is presented. The results and conclusions focus on the economic importance of improved crop forecasts, U.S. exports, and government policy operations. Several promising avenues of further investigation are suggested.

  11. Agricultural Aircraft Aid

    NASA Technical Reports Server (NTRS)

    1982-01-01

    Farmers are increasingly turning to aerial applications of pesticides, fertilizers and other materials. Sometimes uneven distribution of the chemicals is caused by worn nozzles, improper alignment of spray nozzles or system leaks. If this happens, job must be redone with added expense to both the pilot and customer. Traditional pattern analysis techniques take days or weeks. Utilizing NASA's wind tunnel and computer validation technology, Dr. Roth, Oklahoma State University (OSU), developed a system for providing answers within minutes. Called the Rapid Distribution Pattern Evaluation System, the OSU system consists of a 100-foot measurement frame tied in to computerized analysis and readout equipment. System is mobile, delivered by trailer to airfields in agricultural areas where OSU conducts educational "fly-ins." A fly-in typically draws 50 to 100 aerial applicators, researchers, chemical suppliers and regulatory officials. An applicator can have his spray pattern checked. A computerized readout, available in five to 12 minutes, provides information for correcting shortcomings in the distribution pattern.

  12. Learning Our Way into Communication: The Making of the Communication and Information Strategy "with" the National Agricultural Advisory Services Programme in Uganda

    ERIC Educational Resources Information Center

    Ramirez, Ricardo

    2005-01-01

    This paper reports on the making of the Communication and Information Strategy with the National Agricultural Advisory Services Programme (NAADS) in Uganda. The NAADS is a new organization in government responsible for the implementation of a demand-driven agricultural extension approach. The new extension approach calls for fundamental changes in…

  13. Agricultural Science I. Supplementary Units. Instructor Information.

    ERIC Educational Resources Information Center

    Martin, Donna; And Others

    These supplementary units are designed to help students with special needs learn and apply agricultural skills in the areas of animal breeding, animal nutrition, leadership, and power tools. Specific competencies are listed as study questions at the beginning of each of the 10 self-paced and self-contained units. Skill sheets, activity sheets, and…

  14. Perspectives on Climate Effects on Agriculture: The International Efforts of AgMIP in Sub-Saharan Africa

    NASA Technical Reports Server (NTRS)

    Kihara, Job; MacCarthy, Dilys S.; Bationo, Andre; Koala, Saidou; Hickman, Jonathon; Koo, Jawoo; Vanya, Charles; Adiku, Samuel; Beletse, Yacob; Masikate, Patricia; hide

    2012-01-01

    Agriculture in Sub-Saharan Africa (SSA) is experiencing climate change-related effects that call for integrated regional assessments, yet capacity for these assessments has been low. The Agricultural Model Intercomparison and Improvement Project (AgMIP) is advancing research on integrated regional assessments of climate change that include climate, crop, and economic modeling and analysis. Through AgMIP, regional integrated assessments are increasingly gaining momentum in SSA, and multi-institutional regional research teams (RRTs) centered in East, West, and Southern· Africa are generating new information on climate change impacts and adaptation in selected agricultural systems. The research in Africa is organized into four RRTs and a coordination team. Each of the RRTs in SSA is composed of scientists from the Consultative Group of International Agricultural Research (CGIAR) institutions, National Agriculture Research institutes (NARs), and universities consisting of experts in crop and economic modeling, climate, and information technology. Stakeholder involvement to inform specific agricultural systems to be evaluated, key outputs, and the representative agricultural pathways (RAPs), is undertaken at two levels: regional and national, in order to contribute to decision making at these levels. Capacity building for integrated assessment (lA) is a key component that is undertaken continuously through interaction with experts in regional and SSA-wide workshops, and through joint creation of tools. Many students and research affiliates have been identified and entrained as part of capacity building in IA. Bi-monthly updates on scholarly publications in climate change in Africa also serve as a vehicle for knowledge-sharing. With 60 scientists already trained and actively engaged in IA and over 80 getting monthly briefs on the latest information on climate change, a climate-informed community of experts is gradually taking shape in SSA. (See Part 2, Appendices 3-5 in

  15. Climate variability and the European agricultural production

    NASA Astrophysics Data System (ADS)

    Guimarães Nobre, Gabriela; Hunink, Johannes E.; Baruth, Bettina; Aerts, Jeroen C. J. H.; Ward, Philip J.

    2017-04-01

    By 2050, the global demand for maize, wheat and other major crops is expected to grow sharply. To meet this challenge, agricultural systems have to increase substantially their production. However, the expanding world population, coupled with a decline of arable land per person, and the variability in global climate, are obstacles to achieving the increasing demand. Creating a resilient agriculture system requires the incorporation of preparedness measures against weather-related events, which can trigger disruptive risks such as droughts. This study examines the influence of large-scale climate variability on agriculture production applying a robust decision-making tool named fast-and-frugal trees (FFT). We created FFTs using a dataset of crop production and indices of climate variability: the El Niño Southern Oscillation (SOI) and the North Atlantic Oscillation (NAO). Our main goal is to predict the occurrence of below-average crop production, using these two indices at different lead times. Initial results indicated that SOI and NAO have strong links with European low sugar beet production. For some areas, the FFTs were able to detect below-average productivity events six months before harvesting with hit rate and predictive positive value higher than 70%. We found that shorter lead times, such as three months before harvesting, have the highest predictive skill. Additionally, we observed that the responses of low production events to the phases of the NAO and SOI vary spatially and seasonally. Through the comprehension of the relationship between large scale climate variability and European drought related agricultural impact, this study reflects on how this information could potentially improve the management of the agricultural sector by coupling the findings with seasonal forecasting system of crop production.

  16. How useful are meteorological drought indicators to assess agricultural drought impacts across Europe?

    NASA Astrophysics Data System (ADS)

    Bachmair, Sophie; Tanguy, Maliko; Hannaford, Jamie; Stahl, Kerstin

    2016-04-01

    Drought monitoring and early warning (M&EW) is an important component of agricultural and silvicultural risk management. Meteorological indicators such as the Standardized Precipitation Index (SPI) are widely used in operational M&EW systems and for drought hazard assessment. Meteorological drought yet does not necessarily equate to agricultural drought given differences in drought susceptibility, e.g. crop-specific vulnerability, soil water holding capacity, irrigation and other management practices. How useful are meteorological indicators such as SPI to assess agricultural drought? Would the inclusion of vegetation indicators into drought M&EW systems add value for the agricultural sector? To answer these questions, it is necessary to investigate the link between meteorological indicators and agricultural impacts of drought. Crop yield or loss data is one source of information for drought impacts, yet mostly available as aggregated data at the annual scale. Remotely sensed vegetation stress data offer another possibility to directly assess agricultural impacts with high spatial and temporal resolution and are already used by some M&EW systems. At the same time, reduced crop yield and satellite-based vegetation stress potentially suffer from multi-causality. The aim of this study is therefore to investigate the relation between meteorological drought indicators and agricultural drought impacts for Europe, and to intercompare different agricultural impact variables. As drought indicators we used SPI and the Standardized Precipitation Evaporation Index (SPEI) for different accumulation periods. The focus regarding drought impact variables was on remotely sensed vegetation stress derived from MODIS NDVI (Normalized Difference Vegetation Index) and LST (Land Surface Temperature) data, but the analysis was complemented with crop yield data and text-based information from the European Drought Impact report Inventory (EDII) for selected countries. A correlation analysis

  17. 78 FR 32460 - Comment Request for Information Collection for ETA Form 232, Domestic Agricultural In-Season Wage...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-05-30

    ...The Department of Labor (Department), as part of its continuing effort to reduce paperwork and respondent burden, conducts a preclearance consultation program to provide the public and Federal agencies with an opportunity to comment on proposed and/or continuing collections of information in accordance with the Paperwork Reduction Act of 1995 [44 U.S.C. 3506(c)(2)(A)]. This program helps ensure that requested data can be provided in the desired format, reporting burden (time and financial resources) is minimized, collection instruments are clearly understood, and the impact of collection requirements on respondents can be properly assessed. Currently, ETA is soliciting comments concerning the collection of data about ETA Form 232, Domestic Agricultural In-Season Wage Report and ETA Form 232-A, Wage Survey Interview Record, OMB Control No. 1205- 0017, both of which expire July 31, 2013. These forms are used by the State Workforce Agencies to collect wage information from agricultural employers.

  18. 12 CFR 617.7620 - What should the System institution do when it decides to sell acquired agricultural real estate...

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... decides to sell acquired agricultural real estate at a public auction? 617.7620 Section 617.7620 Banks and... What should the System institution do when it decides to sell acquired agricultural real estate at a public auction? System institutions electing to sell or lease acquired agricultural real estate or a...

  19. 12 CFR 617.7620 - What should the System institution do when it decides to sell acquired agricultural real estate...

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... decides to sell acquired agricultural real estate at a public auction? 617.7620 Section 617.7620 Banks and... What should the System institution do when it decides to sell acquired agricultural real estate at a public auction? System institutions electing to sell or lease acquired agricultural real estate or a...

  20. Benchmarking a Soil Moisture Data Assimilation System for Agricultural Drought Monitoring

    NASA Technical Reports Server (NTRS)

    Hun, Eunjin; Crow, Wade T.; Holmes, Thomas; Bolten, John

    2014-01-01

    Despite considerable interest in the application of land surface data assimilation systems (LDAS) for agricultural drought applications, relatively little is known about the large-scale performance of such systems and, thus, the optimal methodological approach for implementing them. To address this need, this paper evaluates an LDAS for agricultural drought monitoring by benchmarking individual components of the system (i.e., a satellite soil moisture retrieval algorithm, a soil water balance model and a sequential data assimilation filter) against a series of linear models which perform the same function (i.e., have the same basic inputoutput structure) as the full system component. Benchmarking is based on the calculation of the lagged rank cross-correlation between the normalized difference vegetation index (NDVI) and soil moisture estimates acquired for various components of the system. Lagged soil moistureNDVI correlations obtained using individual LDAS components versus their linear analogs reveal the degree to which non-linearities andor complexities contained within each component actually contribute to the performance of the LDAS system as a whole. Here, a particular system based on surface soil moisture retrievals from the Land Parameter Retrieval Model (LPRM), a two-layer Palmer soil water balance model and an Ensemble Kalman filter (EnKF) is benchmarked. Results suggest significant room for improvement in each component of the system.

  1. Paths of convergence for agriculture, health, and wealth.

    PubMed

    Dubé, Laurette; Pingali, Prabhu; Webb, Patrick

    2012-07-31

    This special feature calls for forward thinking around paths of convergence for agriculture, health, and wealth. Such convergence aims for a richer integration of smallholder farmers into national and global agricultural and food systems, health systems, value chains, and markets. The articles identify analytical innovation, where disciplines intersect, and cross-sectoral action where single, linear, and siloed approaches have traditionally dominated. The issues addressed are framed by three main themes: (i) lessons related to agricultural and food market growth since the 1960s; (ii) experiences related to the integration of smallholder agriculture into national and global business agendas; and (iii) insights into convergence-building institutional design and policy, including a review of complexity science methods that can inform such processes. In this introductory article, we first discuss the perspectives generated for more impactful policy and action when these three themes converge. We then push thematic boundaries to elaborate a roadmap for a broader, solution-oriented, and transdisciplinary approach to science, policies, and actions. As the global urban population crosses the 50% mark, both smallholder and nonsmallholder agriculture are keys in forging rural-urban links, where both farm and nonfarm activities contribute to sustainable nutrition security. The roadmaps would harness the power of business to reduce hunger and poverty for millions of families, contribute to a better alignment between human biology and modern lifestyles, and stem the spread of noncommunicable chronic diseases.

  2. Information Requirements for a Procurement Management Information System.

    DTIC Science & Technology

    1975-08-01

    Management Information System is...described and some justification for this type of procurement management information system is presented. A literature search was made to determine...information systems. If information requirements are correctly identified and satisfied by a procurement management information system , contract administration and procurement management can be

  3. Agriculture Sectors

    EPA Pesticide Factsheets

    The Agriculture sectors comprise establishments primarily engaged in growing crops, raising animals, and harvesting fish and other animals. Find information on compliance, enforcement and guidance on EPA laws and regulations on the NAICS 111 & 112 sectors.

  4. Classification and Mapping of Agricultural Land for National Water-Quality Assessment

    USGS Publications Warehouse

    Gilliom, Robert J.; Thelin, Gail P.

    1997-01-01

    Agricultural land use is one of the most important influences on water quality at national and regional scales. Although there is great diversity in the character of agricultural land, variations follow regional patterns that are influenced by environmental setting and economics. These regional patterns can be characterized by the distribution of crops. A new approach to classifying and mapping agricultural land use for national water-quality assessment was developed by combining information on general land-use distribution with information on crop patterns from agricultural census data. Separate classification systems were developed for row crops and for orchards, vineyards, and nurseries. These two general categories of agricultural land are distinguished from each other in the land-use classification system used in the U.S. Geological Survey national Land Use and Land Cover database. Classification of cropland was based on the areal extent of crops harvested. The acreage of each crop in each county was divided by total row-crop area or total orchard, vineyard, and nursery area, as appropriate, thus normalizing the crop data and making the classification independent of total cropland area. The classification system was developed using simple percentage criteria to define combinations of 1 to 3 crops that account for 50 percent or more or harvested acreage in a county. The classification system consists of 21 level I categories and 46 level II subcategories for row crops, and 26 level I categories and 19 level II subcategories for orchards, vineyards, and nurseries. All counties in the United States with reported harvested acreage are classified in these categories. The distribution of agricultural land within each county, however, must be evaluated on the basis of general land-use data. This can be done at the national scale using 'Major Land Uses of the United States,' at the regional scale using data from the national Land Use and Land Cover database, or at

  5. Sustainable Agriculture in Print: Current Books. Special Reference Briefs: SRB 95-02.

    ERIC Educational Resources Information Center

    National Agricultural Library, Beltsville, MD.

    Prepared by the Alternative Farming Systems Information Center (AFSIC) staff and volunteers, this annotated bibliography provides a list of 85 recently published books pertaining to sustainable agriculture. AFSIC focuses on alternative farming systems (e.g., sustainable, low-input, regenerative, biodynamic, and organic) that maintain agricultural…

  6. A system dynamics simulation model for sustainable water resources management and agricultural development in the Volta River Basin, Ghana.

    PubMed

    Kotir, Julius H; Smith, Carl; Brown, Greg; Marshall, Nadine; Johnstone, Ron

    2016-12-15

    In a rapidly changing water resources system, dynamic models based on the notion of systems thinking can serve as useful analytical tools for scientists and policy-makers to study changes in key system variables over time. In this paper, an integrated system dynamics simulation model was developed using a system dynamics modelling approach to examine the feedback processes and interaction between the population, the water resource, and the agricultural production sub-sectors of the Volta River Basin in West Africa. The objective of the model is to provide a learning tool for policy-makers to improve their understanding of the long-term dynamic behaviour of the basin, and as a decision support tool for exploring plausible policy scenarios necessary for sustainable water resource management and agricultural development. Structural and behavioural pattern tests, and statistical test were used to evaluate and validate the performance of the model. The results showed that the simulated outputs agreed well with the observed reality of the system. A sensitivity analysis also indicated that the model is reliable and robust to uncertainties in the major parameters. Results of the business as usual scenario showed that total population, agricultural, domestic, and industrial water demands will continue to increase over the simulated period. Besides business as usual, three additional policy scenarios were simulated to assess their impact on water demands, crop yield, and net-farm income. These were the development of the water infrastructure (scenario 1), cropland expansion (scenario 2) and dry conditions (scenario 3). The results showed that scenario 1 would provide the maximum benefit to people living in the basin. Overall, the model results could help inform planning and investment decisions within the basin to enhance food security, livelihoods development, socio-economic growth, and sustainable management of natural resources. Copyright © 2016 Elsevier B.V. All

  7. Vegetated Treatment Systems for Removing Contaminants Associated with Surface Water Toxicity in Agriculture and Urban Runoff.

    PubMed

    Anderson, Brian S; Phillips, Bryn M; Voorhees, Jennifer P; Cahn, Michael

    2017-05-15

    Urban stormwater and agriculture irrigation runoff contain a complex mixture of contaminants that are often toxic to adjacent receiving waters. Runoff may be treated with simple systems designed to promote sorption of contaminants to vegetation and soils and promote infiltration. Two example systems are described: a bioswale treatment system for urban stormwater treatment, and a vegetated drainage ditch for treating agriculture irrigation runoff. Both have similar attributes that reduce contaminant loading in runoff: vegetation that results in sorption of the contaminants to the soil and plant surfaces, and water infiltration. These systems may also include the integration of granulated activated carbon as a polishing step to remove residual contaminants. Implementation of these systems in agriculture and urban watersheds requires system monitoring to verify treatment efficacy. This includes chemical monitoring for specific contaminants responsible for toxicity. The current paper emphasizes monitoring of current use pesticides since these are responsible for surface water toxicity to aquatic invertebrates.

  8. Rural Development: Information and Technical Assistance Delivered by the Department of Agriculture in Fiscal Year 1975. Sixth Annual Report to the Congress.

    ERIC Educational Resources Information Center

    Department of Agriculture, Washington, DC.

    A consolidated summary of information submitted by U.S. Department of Agriculture (USDA) Agencies and State Rural Development (RD) Committees, this sixth annual report on USDA information and technical assistance includes USDA organizational arrangements for rural assistance, some assessments, research supporting RD information and technical…

  9. Weather Information System

    NASA Technical Reports Server (NTRS)

    1995-01-01

    WxLink is an aviation weather system based on advanced airborne sensors, precise positioning available from the satellite-based Global Positioning System, cockpit graphics and a low-cost datalink. It is a two-way system that uplinks weather information to the aircraft and downlinks automatic pilot reports of weather conditions aloft. Manufactured by ARNAV Systems, Inc., the original technology came from Langley Research Center's cockpit weather information system, CWIN (Cockpit Weather INformation). The system creates radar maps of storms, lightning and reports of surface observations, offering improved safety, better weather monitoring and substantial fuel savings.

  10. Task-focused modeling in automated agriculture

    NASA Astrophysics Data System (ADS)

    Vriesenga, Mark R.; Peleg, K.; Sklansky, Jack

    1993-01-01

    Machine vision systems analyze image data to carry out automation tasks. Our interest is in machine vision systems that rely on models to achieve their designed task. When the model is interrogated from an a priori menu of questions, the model need not be complete. Instead, the machine vision system can use a partial model that contains a large amount of information in regions of interest and less information elsewhere. We propose an adaptive modeling scheme for machine vision, called task-focused modeling, which constructs a model having just sufficient detail to carry out the specified task. The model is detailed in regions of interest to the task and is less detailed elsewhere. This focusing effect saves time and reduces the computational effort expended by the machine vision system. We illustrate task-focused modeling by an example involving real-time micropropagation of plants in automated agriculture.

  11. Agricultural policy and childhood obesity: a food systems and public health commentary.

    PubMed

    Wallinga, David

    2010-01-01

    For thirty-five years, U.S. agriculture has operated under a "cheap food" policy that spurred production of a few commodity crops, not fruit or vegetables, and thus of the calories from them. A key driver of childhood obesity is the consumption of excess calories, many from inexpensive, nutrient-poor snacks, sweets, and sweetened beverages made with fats and sugars derived from these policy-supported crops. Limiting or eliminating farm subsidies to commodity farmers is wrongly perceived as a quick fix to a complex agricultural system, evolved over decades, that promotes obesity. Yet this paper does set forth a series of policy recommendations that could help, including managing commodity crop oversupply and supporting farmers who produce more fruit and vegetables to build a healthier, more balanced agricultural policy.

  12. Autonomous agricultural remote sensing systems with high spatial and temporal resolutions

    NASA Astrophysics Data System (ADS)

    Xiang, Haitao

    In this research, two novel agricultural remote sensing (RS) systems, a Stand-alone Infield Crop Monitor RS System (SICMRS) and an autonomous Unmanned Aerial Vehicles (UAV) based RS system have been studied. A high-resolution digital color and multi-spectral camera was used as the image sensor for the SICMRS system. An artificially intelligent (AI) controller based on artificial neural network (ANN) and an adaptive neuro-fuzzy inference system (ANFIS) was developed. Morrow Plots corn field RS images in the 2004 and 2006 growing seasons were collected by the SICMRS system. The field site contained 8 subplots (9.14 m x 9.14 m) that were planted with corn and three different fertilizer treatments were used among those subplots. The raw RS images were geometrically corrected, resampled to 10cm resolution, removed soil background and calibrated to real reflectance. The RS images from two growing seasons were studied and 10 different vegetation indices were derived from each day's image. The result from the image processing demonstrated that the vegetation indices have temporal effects. To achieve high quality RS data, one has to utilize the right indices and capture the images at the right time in the growing season. Maximum variations among the image data set are within the V6-V10 stages, which indicated that these stages are the best period to identify the spatial variability caused by the nutrient stress in the corn field. The derived vegetation indices were also used to build yield prediction models via the linear regression method. At that point, all of the yield prediction models were evaluated by comparing the R2-value and the best index model from each day's image was picked based on the highest R 2-value. It was shown that the green normalized difference vegetation (GNDVI) based model is more sensitive to yield prediction than other indices-based models. During the VT-R4 stages, the GNDVI based models were able to explain more than 95% potential corn yield

  13. Health information systems.

    PubMed

    Hovenga, Evelyn J S; Grain, Heather

    2013-01-01

    Health information provides the foundation for all decision making in healthcare whether clinical at the bed side, or at a national government level. This information is generally collected as part of systems which support administrative or clinical workflow and practice. This chapter describes the many and varied features of systems such as electronic health records (EHRs), how they fit with health information systems and how they collectively manage information flow. Systems engineering methods and tools are described together with their use to suit the health industry. This focuses on the need for suitable system architectures and semantic interoperability. These concepts and their relevance to the health industry are explained. The relationship and requirements for appropriate data governance in these systems is also considered.

  14. Department Identification, Professional Identification, and Attitudes toward Agriculture in Agriculture College Students

    ERIC Educational Resources Information Center

    Yueh, Hsiu-Ping; Chen, Tzy-Ling; Cheng, Po-Jen

    2014-01-01

    The purpose of this study was to investigate the department identification, professional identification, and attitude toward agriculture of agriculture students. As the scope of agricultural higher education has been readjusted to focus on a system of content-related innovations instead of primary production, it is also an aim of the study to…

  15. A process-based agricultural model for the irrigated agriculture sector in Alberta, Canada

    NASA Astrophysics Data System (ADS)

    Ammar, M. E.; Davies, E. G.

    2015-12-01

    Connections between land and water, irrigation, agricultural productivity and profitability, policy alternatives, and climate change and variability are complex, poorly understood, and unpredictable. Policy assessment for agriculture presents a large potential for development of broad-based simulation models that can aid assessment and quantification of policy alternatives over longer temporal scales. The Canadian irrigated agriculture sector is concentrated in Alberta, where it represents two thirds of the irrigated land-base in Canada and is the largest consumer of surface water. Despite interest in irrigation expansion, its potential in Alberta is uncertain given a constrained water supply, significant social and economic development and increasing demands for both land and water, and climate change. This paper therefore introduces a system dynamics model as a decision support tool to provide insights into irrigation expansion in Alberta, and into trade-offs and risks associated with that expansion. It is intended to be used by a wide variety of users including researchers, policy analysts and planners, and irrigation managers. A process-based cropping system approach is at the core of the model and uses a water-driven crop growth mechanism described by AquaCrop. The tool goes beyond a representation of crop phenology and cropping systems by permitting assessment and quantification of the broader, long-term consequences of agricultural policies for Alberta's irrigation sector. It also encourages collaboration and provides a degree of transparency that gives confidence in simulation results. The paper focuses on the agricultural component of the systems model, describing the process involved; soil water and nutrients balance, crop growth, and water, temperature, salinity, and nutrients stresses, and how other disciplines can be integrated to account for the effects of interactions and feedbacks in the whole system. In later stages, other components such as

  16. Soil chemical sensor and precision agricultural chemical delivery system and method

    DOEpatents

    Colburn, Jr., John W.

    1991-01-01

    A real time soil chemical sensor and precision agricultural chemical delivery system includes a plurality of ground-engaging tools in association with individual soil sensors which measure soil chemical levels. The system includes the addition of a solvent which rapidly saturates the soil/tool interface to form a conductive solution of chemicals leached from the soil. A multivalent electrode, positioned within a multivalent frame of the ground-engaging tool, applies a voltage or impresses a current between the electrode and the tool frame. A real-time soil chemical sensor and controller senses the electrochemical reaction resulting from the application of the voltage or current to the leachate, measures it by resistivity methods, and compares it against pre-set resistivity levels for substances leached by the solvent. Still greater precision is obtained by calibrating for the secondary current impressed through solvent-less soil. The appropriate concentration is then found and the servo-controlled delivery system applies the appropriate amount of fertilizer or agricultural chemicals substantially in the location from which the soil measurement was taken.

  17. Soil chemical sensor and precision agricultural chemical delivery system and method

    DOEpatents

    Colburn, J.W. Jr.

    1991-07-23

    A real time soil chemical sensor and precision agricultural chemical delivery system includes a plurality of ground-engaging tools in association with individual soil sensors which measure soil chemical levels. The system includes the addition of a solvent which rapidly saturates the soil/tool interface to form a conductive solution of chemicals leached from the soil. A multivalent electrode, positioned within a multivalent frame of the ground-engaging tool, applies a voltage or impresses a current between the electrode and the tool frame. A real-time soil chemical sensor and controller senses the electrochemical reaction resulting from the application of the voltage or current to the leachate, measures it by resistivity methods, and compares it against pre-set resistivity levels for substances leached by the solvent. Still greater precision is obtained by calibrating for the secondary current impressed through solvent-less soil. The appropriate concentration is then found and the servo-controlled delivery system applies the appropriate amount of fertilizer or agricultural chemicals substantially in the location from which the soil measurement was taken. 5 figures.

  18. Agricultural Extension, Collective Action and Innovation Systems: Lessons on Network Brokering from Peru and Mexico

    ERIC Educational Resources Information Center

    Hellin, Jon

    2012-01-01

    Purpose: New approaches to extension service delivery are needed that stimulate increased agricultural production, contribute to collective action and which also foster the emergence of agricultural innovation systems. Research in Peru and Mexico explores some of these new approaches. Design/methodology/approach: In both countries, a qualitative…

  19. Geographic information system as country-level development and monitoring tool, Senegal example

    USGS Publications Warehouse

    Moore, Donald G.; Howard, Stephen M.; ,

    1990-01-01

    Geographic information systems (GIS) allow an investigator the capability to merge and analyze numerous types of country-level resource data. Hypothetical resource analysis applications in Senegal were conducted to illustrate the utility of a GIS for development planning and resource monitoring. Map and attribute data for soils, vegetation, population, infrastructure, and administrative units were merged to form a database within a GIS. Several models were implemented using a GIS to: analyze development potential for sustainable dryland agriculture; prioritize where agricultural development should occur based upon a regional food budget; and monitor dynamic events with remote sensing. The steps for implementing a GIS analysis are described and illustrated, and the use of a GIS for conducting an economic analysis is outlined. Using a GIS for analysis and display of results opens new methods of communication between resource scientists and decision makers. Analyses yielding country-wide map output and detailed statistical data for each level of administration provide the advantage of a single system that can serve a variety of users.

  20. Moving toward climate-informed agricultural decision support - can we use PRISM data for more than just monthly averages?

    USDA-ARS?s Scientific Manuscript database

    Decision support systems/models for agriculture are varied in target application and complexity, ranging from simple worksheets to near real-time forecast systems requiring significant computational and manpower resources. Until recently, most such decision support systems have been constructed with...

  1. Starting a learning progression for agricultural literacy: A qualitative study of urban elementary student understandings of agricultural and science education benchmarks

    NASA Astrophysics Data System (ADS)

    Hess, Alexander Jay

    Science and agriculture professional organizations have argued for agricultural literacy as a goal for K-12 public education. Due to the complexity of our modern agri-food system, with social, economic, and environmental concerns embedded, an agriculturally literate society is needed for informed decision making, democratic participation, and system reform. While grade-span specific benchmarks for gauging agri-food system literacy have been developed, little attention has been paid to existing ideas individuals hold about the agri-food system, how these existing ideas relate to benchmarks, how experience shapes such ideas, or how ideas change overtime. Developing a body of knowledge on students' agri-food system understandings as they develop across K-12 grades can ground efforts seeking to promote a learning progression toward agricultural literacy. This study compares existing perceptions held by 18 upper elementary students from a large urban center in California to agri-food system literacy benchmarks and examines the perceptions against student background and experiences. Data were collected via semi-structured interviews and analyzed using the constant comparative method. Constructivist theoretical perspectives framed the study. No student had ever grown their own food, raised a plant, or cared for an animal. Participation in school fieldtrips to farms or visits to a relative's garden were agricultural experiences most frequently mentioned. Students were able to identify common food items, but could not elaborate on their origins, especially those that were highly processed. Students' understanding of post-production activities (i.e. food processing, manufacturing, or food marketing) was not apparent. Students' understanding of farms reflected a 1900's subsistence farming operation commonly found in a literature written for the primary grades. Students were unaware that plants and animals were selected for production based on desired genetic traits. Obtaining

  2. Resource Guide to Educational Materials about Agriculture. A Project of Agriculture in the Classroom.

    ERIC Educational Resources Information Center

    Department of Agriculture, Washington, DC. Office of the Secretary.

    Designed to help teachers bring more information about agriculture into their classrooms, this resource guide provides a listing of materials relating to agriculture available from private and public sources. It describes materials available from more than 300 organizations and publishers who responded to a request regarding materials they were…

  3. Desert agricultural terrace systems at EBA Jawa (Jordan) - Layout, water availability and efficiency

    NASA Astrophysics Data System (ADS)

    Meister, Julia; Krause, Jan; Müller-Neuhof, Bernd; Portillo, Marta; Reimann, Tony; Schütt, Brigitta

    2016-04-01

    Located in the arid basalt desert of northeastern Jordan, the Early Bronze Age (EBA) settlement of Jawa is by far the largest and best preserved archaeological EBA site in the region. Recent surveys in the close vicinity revealed well-preserved remains of three abandoned agricultural terrace systems. In the presented study these archaeological features are documented by detailed mapping and the analysis of the sediment records in a multi-proxy approach. To study the chronology of the terrace systems optically stimulated luminescence (OSL) is used. In order to evaluate the efficiency of the water management techniques and its impact on harvest yields, a crop simulation model (CropSyst) under today's climatic conditions is applied, simulating crop yields with and without (runoff) irrigation. In order to do so, a runoff time series for each agricultural terrace system and its catchment is generated, applying the SCS runoff curve number method (CN) based on rainfall and soil data. Covering a total area of 38 ha, irrigated terrace agriculture was practiced on slopes, small plateaus, and valleys in the close vicinity of Jawa. Floodwater from nearby wadis or runoff from adjacent slopes was collected and diverted via surface canals. The terraced fields were arranged in cascades, allowing effective water exploitation through a system of risers, canals and spillways. The examined terrace profiles show similar stratigraphic sequences of mixed unstratified fine sediments that are composed of small-scale relocated sediments with local origin. The accumulation of these fines is associated with the construction of agricultural terraces, forcing infiltration and storage of the water within the terraces. Two OSL ages of terrace fills indicate that the construction of these terrace systems started as early as 5300 ± 300 a, which fits well to the beginning of the occupation phase of Jawa at around 3.500 calBC, thus making them to the oldest examples of its kind in the Middle East

  4. The Joint Experiment for Crop Assessment and Monitoring (JECAM) Initiative: Developing methods and best practices for global agricultural monitoring

    NASA Astrophysics Data System (ADS)

    Champagne, C.; Jarvis, I.; Defourny, P.; Davidson, A.

    2014-12-01

    Agricultural systems differ significantly throughout the world, making a 'one size fits all' approach to remote sensing and monitoring of agricultural landscapes problematic. The Joint Experiment for Crop Assessment and Monitoring (JECAM) was established in 2009 to bring together the global scientific community to work towards a set of best practices and recommendations for using earth observation data to map, monitor and report on agricultural productivity globally across an array of diverse agricultural systems. These methods form the research and development component of the Group on Earth Observation Global Agricultural Monitoring (GEOGLAM) initiative to harmonize global monitoring efforts and increase market transparency. The JECAM initiative brings together researchers from a large number of globally distributed, well monitored agricultural test sites that cover a range of crop types, cropping systems and climate regimes. Each test site works independently as well as together across multiple sites to test methods, sensors and field data collection techniques to derive key agricultural parameters, including crop type, crop condition, crop yield and soil moisture. The outcome of this project will be a set of best practices that cover the range of remote sensing monitoring and reporting needs, including satellite data acquisition, pre-processing techniques, information retrieval and ground data validation. These outcomes provide the research and development foundation for GEOGLAM and will help to inform the development of the GEOGLAM "system of systems" for global agricultural monitoring. The outcomes of the 2014 JECAM science meeting will be discussed as well as examples of methods being developed by JECAM scientists.

  5. Which Advisory System to Support Innovation in Conservation Agriculture? The Case of Madagascar's Lake Alaotra

    ERIC Educational Resources Information Center

    Faure, Guy; Penot, Eric; Rakotondravelo, Jean Chrysostome; Ramahatoraka, Haja Andrisoa; Dugue, Patrick; Toillier, Aurelie

    2013-01-01

    Purpose: To promote sustainable agriculture, various development projects are encouraging farmers around Madagascar's Lake Alaotra to adopt conservation agriculture techniques. This article's objective is to analyze the capacity of a project-funded advisory system to accompany such an innovation and to design and implement an advisory method aimed…

  6. Building an Agricultural Extension Services System Supported by ICTs in Tanzania: Progress Made, Challenges Remain

    ERIC Educational Resources Information Center

    Sanga, C.; Kalungwizi, V. J.; Msuya, C. P.

    2013-01-01

    The conventional agricultural extension service in Tanzania is mainly provided by extension officers visiting farmers to provide agricultural advisory service. This system of extension service provision faces a number of challenges including the few number of extension officers and limited resources. This article assesses the effectiveness of an…

  7. Wisconsin Radio and Television Agricultural Market News Programming. Wisconsin Agricultural Extension Service Research Report No. R2615, April 1974.

    ERIC Educational Resources Information Center

    Kroupa, Eugene A.; Walker, Douglas K.

    The study determined what Wisconsin's 102 AM, 107 FM, and 21 television stations were providing as agricultural market information programming and documented the amount, timing, frequency, and completeness of broadcast agricultural market news reports. Data were collected on the sources of market price information, types of commodity and price…

  8. Application of Terrestrial Microwave Remote Sensing to Agricultural Drought Monitoring

    NASA Astrophysics Data System (ADS)

    Crow, W. T.; Bolten, J. D.

    2014-12-01

    Root-zone soil moisture information is a valuable diagnostic for detecting the onset and severity of agricultural drought. Current attempts to globally monitor root-zone soil moisture are generally based on the application of soil water balance models driven by observed meteorological variables. Such systems, however, are prone to random error associated with: incorrect process model physics, poor parameter choices and noisy meteorological inputs. The presentation will describe attempts to remediate these sources of error via the assimilation of remotely-sensed surface soil moisture retrievals from satellite-based passive microwave sensors into a global soil water balance model. Results demonstrate the ability of satellite-based soil moisture retrieval products to significantly improve the global characterization of root-zone soil moisture - particularly in data-poor regions lacking adequate ground-based rain gage instrumentation. This success has lead to an on-going effort to implement an operational land data assimilation system at the United States Department of Agriculture's Foreign Agricultural Service (USDA FAS) to globally monitor variations in root-zone soil moisture availability via the integration of satellite-based precipitation and soil moisture information. Prospects for improving the performance of the USDA FAS system via the simultaneous assimilation of both passive and active-based soil moisture retrievals derived from the upcoming NASA Soil Moisture Active/Passive mission will also be discussed.

  9. 75 FR 6622 - The U.S. Department of Agriculture (USDA) Proposes to Revise Three of Its Privacy Act Systems of...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-02-10

    ... DEPARTMENT OF AGRICULTURE Office of the Secretary The U.S. Department of Agriculture (USDA) Proposes to Revise Three of Its Privacy Act Systems of Records AGENCY: Office of the Secretary, USDA. ACTION: The U.S. Department of Agriculture (USDA) proposes to revise three of its Privacy Act systems of...

  10. Benchmarking the performance of a land data assimilation system for agricultural drought monitoring

    USDA-ARS?s Scientific Manuscript database

    The application of land data assimilation systems to operational agricultural drought monitoring requires the development of (at least) three separate system sub-components: 1) a retrieval model to invert satellite-derived observations into soil moisture estimates, 2) a prognostic soil water balance...

  11. Soil nitrogen balance assessment and its application for sustainable agriculture and environment.

    PubMed

    Roy, Rabindra Nath; Misra, Ram Vimal

    2005-12-01

    Soil nitrogen balance assessment (SNBA) serves as an effective tool for estimating the magnitude of nitrogen loss/gain of the agro-eco systems and to appraise their sustainability. SNBA brings forth awareness of soil fertility problems, besides providing information relating to the resultant release of nitrogen into the environment consequent to agricultural practices. Quantitative information relating to nitrogen escape into the environment through such exercises can be gainfully utilized for identification of causative factors, enhancing fertilizer use efficiency and formulating programmes aimed at plugging N leakages. An overview of nitrogen balance approaches and methodologies is presented. A deeper understanding and insight into the agro-eco systems provided by the SNBA exercises can lay the basis for the formulation of effective agronomic interventions and policies aimed at promoting sustainable agriculture and a benign environment.

  12. Soil nitrogen balance assessment and its application for sustainable agriculture and environment.

    PubMed

    Roy, Rabindra Nath; Misra, Ram Vimal

    2005-09-01

    Soil nitrogen balance assessment (SNBA) serves as an effective tool for estimating the magnitude of nitrogen loss/gain of the agro-eco systems and to appraise their sustainability. SNBA brings forth awareness of soil fertility problems, besides providing information relating to the resultant release of nitrogen into the environment consequent to agricultural practices. Quantitative information relating to nitrogen escape into the environment through such exercises can be gainfully utilized for identification of causative factors, enhancing fertilizer use efficiency and formulating programmes aimed at plugging N leakages. An overview of nitrogen balance approaches and methodologies is presented. A deeper understanding and insight into the agro-eco systems provided by the SNBA exercises can lay the basis for the formulation of effective agronomic interventions and policies aimed at promoting sustainable agriculture and a benign environment.

  13. Measuring Florida Extension Faculty's Agricultural Paradigmatic Preferences

    ERIC Educational Resources Information Center

    Warner, Laura A.; Murphrey, Theresa Pesl; Lawver, David E.; Baker, Matt; Lindner, James R.

    2014-01-01

    The demand for sustainable agriculture has increased, and many institutions, including the University of Florida, have adopted agricultural sustainability as a major goal. Extension has been identified as a critical information source, important in disseminating sustainable agricultural growing techniques. However, research has demonstrated that…

  14. Agricultural production and stability of settlement systems in Upper Mesopotamia during the Early Bronze Age (third millennium BCE)

    NASA Astrophysics Data System (ADS)

    Kalayci, Tuna

    This study investigates the relationship between rainfall variation and rain-fed agricultural production in Upper Mesopotamia with a specific focus on Early Bronze Age urban settlements. In return, the variation in production is used to explore stability of urban settlement systems. The organization of the flow of agricultural goods is the key to sustaining the total settlement system. The vulnerability of a settlement system increases due to the increased demand for more output from agricultural lands. This demand is the key for the success of urbanization project. However, without estimating how many foodstuffs were available at the end of a production cycle, further discussions on the forces that shaped and sustained urban settlement systems will be lacking. While large scale fluctuations in the flow of agricultural products between settlements are not the only determinants of hierarchical structures, the total available agricultural yield for each urban settlement in a hierarchy must have influenced settlement relations. As for the methodology, first, Early Bronze Age precipitation levels are estimated by using modern day associations between the eastern Mediterranean coastal areas and the inner regions of Upper Mesopotamia. Next, these levels are integrated into a remote-sensing based biological growth model. Also, a CORONA satellite imagery based archaeological survey is conducted in order to map the Early Bronze Age settlement system in its entirety as well as the ancient markers of agricultural intensification. Finally, ancient agricultural production landscapes are modeled in a GIS. The study takes a critical position towards the traditionally held assumption that large urban settlements (cities) in Upper Mesopotamia were in a state of constant demand for food. The results from this study also suggest that when variations in ancient precipitation levels are translated into the variations in production levels, the impact of climatic aridification on ancient

  15. Agricultural Innovation Systems (AIS): A Study of Stakeholders and Their Relations in System of Rice Intensification (SRI)

    ERIC Educational Resources Information Center

    Suchiradipta, Bhattacharjee; Raj, Saravanan

    2015-01-01

    Purpose: This paper identifies the stakeholders of System of Rice Intensification (SRI), their roles and actions and the supporting and enabling environment of innovation in the state as the elements of the Agricultural Innovation Systems (AIS) in SRI in Tripura state of India and studies the relationship matrix among the stakeholders.…

  16. Trends in Nonfatal Agricultural Injury in Maine and New Hampshire: Results From a Low-Cost Passive Surveillance System.

    PubMed

    Scott, Erika; Bell, Erin; Hirabayashi, Liane; Krupa, Nicole; Jenkins, Paul

    2017-01-01

    Agriculture is a dangerous industry, and although data on fatal injuries exist, less is known about nonfatal injuries. The purpose of this study is to describe trends in agricultural morbidity in Maine and New Hampshire from 2008 to 2010 using a newly established passive surveillance system. This passive system is supplied by injury cases gathered from prehospital care reports and hospital data. Demographics and specifics of the event were recorded for each incident case. The average age of injured people in Maine and New Hampshire was 41.7. Women constituted 43.8% of all agricultural injuries. Machinery- (n = 303) and animal- (n = 523) related injuries accounted for most agricultural incidents. Of all injured women, over 60% sustained injuries due to animal-related causes. Agricultural injuries were spread across the two states, with clustering in southern New Hampshire and south central Maine, with additional injuries in the Aroostook County area, which is located in the northeast part of the state. Seasonal variation in agricultural injuries was evident with peaks in the summer months. There was some overlap between the agricultural and logging industry for tree-related work. Our methods are able to capture traumatic injury in agriculture in sufficient detail to prioritize interventions and to evaluate outcomes. The system is low-cost and has the potential to be sustained over a long period. Differences in rates of animal- and machinery-related injuries suggest the need for state-specific safety prioritization.

  17. Paths of convergence for agriculture, health, and wealth

    PubMed Central

    Dubé, Laurette; Pingali, Prabhu; Webb, Patrick

    2012-01-01

    This special feature calls for forward thinking around paths of convergence for agriculture, health, and wealth. Such convergence aims for a richer integration of smallholder farmers into national and global agricultural and food systems, health systems, value chains, and markets. The articles identify analytical innovation, where disciplines intersect, and cross-sectoral action where single, linear, and siloed approaches have traditionally dominated. The issues addressed are framed by three main themes: (i) lessons related to agricultural and food market growth since the 1960s; (ii) experiences related to the integration of smallholder agriculture into national and global business agendas; and (iii) insights into convergence-building institutional design and policy, including a review of complexity science methods that can inform such processes. In this introductory article, we first discuss the perspectives generated for more impactful policy and action when these three themes converge. We then push thematic boundaries to elaborate a roadmap for a broader, solution-oriented, and transdisciplinary approach to science, policies, and actions. As the global urban population crosses the 50% mark, both smallholder and nonsmallholder agriculture are keys in forging rural–urban links, where both farm and nonfarm activities contribute to sustainable nutrition security. The roadmaps would harness the power of business to reduce hunger and poverty for millions of families, contribute to a better alignment between human biology and modern lifestyles, and stem the spread of noncommunicable chronic diseases. PMID:22826252

  18. Information extraction system

    DOEpatents

    Lemmond, Tracy D; Hanley, William G; Guensche, Joseph Wendell; Perry, Nathan C; Nitao, John J; Kidwell, Paul Brandon; Boakye, Kofi Agyeman; Glaser, Ron E; Prenger, Ryan James

    2014-05-13

    An information extraction system and methods of operating the system are provided. In particular, an information extraction system for performing meta-extraction of named entities of people, organizations, and locations as well as relationships and events from text documents are described herein.

  19. Job Prospects for Agricultural Engineers.

    ERIC Educational Resources Information Center

    Basta, Nicholas

    1986-01-01

    Discusses the career outlook for agricultural engineers. Explains that the number of bachelor degrees awarded yearly continues to drop, and that the traditional industries that hire agricultural engineers are employing fewer each year. Suggests that future opportunities exist in the areas of information technology, biotechnology, and research. (TW)

  20. Community Information Systems.

    ERIC Educational Resources Information Center

    Freeman, Andrew

    Information is provided on technological and social trends as background for a workshop designed to heighten the consciousness of workers in community information systems. Initially, the basic terminology is considered in its implications for an integrated perspective of community information systems, with particular attention given to the meaning…

  1. The Development Model Electronic Commerce of Regional Agriculture

    NASA Astrophysics Data System (ADS)

    Kang, Jun; Cai, Lecai; Li, Hongchan

    With the developing of the agricultural information, it is inevitable trend of the development of agricultural electronic commercial affairs. On the basis of existing study on the development application model of e-commerce, combined with the character of the agricultural information, compared with the developing model from the theory and reality, a new development model electronic commerce of regional agriculture base on the government is put up, and such key issues as problems of the security applications, payment mode, sharing mechanisms, and legal protection are analyzed, etc. The among coordination mechanism of the region is discussed on, it is significance for regulating the development of agricultural e-commerce and promoting the regional economical development.

  2. Resolving Multi-Stakeholder Robustness Asymmetries in Coupled Agricultural and Urban Systems

    NASA Astrophysics Data System (ADS)

    Li, Yu; Giuliani, Matteo; Castelletti, Andrea; Reed, Patrick

    2016-04-01

    The evolving pressures from a changing climate and society are increasingly motivating decision support frameworks that consider the robustness of management actions across many possible futures. Focusing on robustness is helpful for investigating key vulnerabilities within current water systems and for identifying potential tradeoffs across candidate adaptation responses. To date, most robustness studies assume a social planner perspective by evaluating highly aggregated measures of system performance. This aggregate treatment of stakeholders does not explore the equity or intrinsic multi-stakeholder conflicts implicit to the system-wide measures of performance benefits and costs. The commonly present heterogeneity across complex management interests, however, may produce strong asymmetries for alternative adaptation options, designed to satisfy system-level targets. In this work, we advance traditional robustness decision frameworks by replacing the centralized social planner with a bottom-up, agent-based approach, where stakeholders are modeled as individuals, and represented as potentially self-interested agents. This agent-based model enables a more explicit exploration of the potential inequities and asymmetries in the distribution of the system-wide benefit. The approach is demonstrated by exploring the potential conflicts between urban flooding and agricultural production in the Lake Como system (Italy). Lake Como is a regulated lake that is operated to supply water to the downstream agricultural district (Muzza as the pilot study area in this work) composed of a set of farmers with heterogeneous characteristics in terms of water allocation, cropping patterns, and land properties. Supplying water to farmers increases the risk of floods along the lakeshore and therefore the system is operated based on the tradeoff between these two objectives. We generated an ensemble of co-varying climate and socio-economic conditions and evaluated the robustness of the

  3. 7 CFR 1540.6 - Information.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 7 Agriculture 10 2011-01-01 2011-01-01 false Information. 1540.6 Section 1540.6 Agriculture Regulations of the Department of Agriculture (Continued) FOREIGN AGRICULTURAL SERVICE, DEPARTMENT OF... § 1540.6 Information. Persons desiring information from the Department of Agriculture regarding the...

  4. 7 CFR 1540.6 - Information.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... 7 Agriculture 10 2012-01-01 2012-01-01 false Information. 1540.6 Section 1540.6 Agriculture Regulations of the Department of Agriculture (Continued) FOREIGN AGRICULTURAL SERVICE, DEPARTMENT OF... § 1540.6 Information. Persons desiring information from the Department of Agriculture regarding the...

  5. 7 CFR 1540.25 - Information.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

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  6. 7 CFR 1540.25 - Information.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

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  7. 7 CFR 1540.6 - Information.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

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  8. 7 CFR 1540.25 - Information.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

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  9. 7 CFR 1540.6 - Information.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

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  10. 7 CFR 1540.25 - Information.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

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  11. 7 CFR 1540.25 - Information.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

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  12. 7 CFR 1540.6 - Information.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 7 Agriculture 10 2010-01-01 2010-01-01 false Information. 1540.6 Section 1540.6 Agriculture Regulations of the Department of Agriculture (Continued) FOREIGN AGRICULTURAL SERVICE, DEPARTMENT OF... § 1540.6 Information. Persons desiring information from the Department of Agriculture regarding the...

  13. Applications of DNA Technologies in Agriculture.

    PubMed

    Fang, Jinggui; Zhu, Xudong; Wang, Chen; Shangguan, Lingfei

    2016-08-01

    With the development of molecular biology, some DNA-based technologies have showed great potentiality in promoting the efficiency of crop breeding program, protecting germplasm resources, improving the quality and outputs of agricultural products, and protecting the eco-environment etc., making their roles in modern agriculture more and more important. To better understand the application of DNA technologies in agriculture, and achieve the goals to promote their utilities in modern agriculture, this paper describes, in some different way, the applications of molecular markers, transgenic engineering and gene's information in agriculture. Some corresponding anticipations for their development prospects are also made.

  14. 48 CFR 414.409 - Information to bidders.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ... 48 Federal Acquisition Regulations System 4 2010-10-01 2010-10-01 false Information to bidders. 414.409 Section 414.409 Federal Acquisition Regulations System DEPARTMENT OF AGRICULTURE CONTRACTING METHODS AND CONTRACT TYPES SEALED BIDDING Opening of Bids and Award of Contract 414.409 Information to...

  15. Abatement costs of soil conservation in China's Loess Plateau: balancing income with conservation in an agricultural system.

    PubMed

    Hou, Lingling; Hoag, Dana L K; Keske, Catherine M H

    2015-02-01

    This study proposes the use of marginal abatement cost curves to calculate environmental damages of agricultural systems in China's Loess Plateau. Total system costs and revenues, management characteristics and pollution attributes are imputed into a directional output distance function, which is then used to determine shadow prices and abatement cost curves for soil and nitrogen loss. Marginal abatement costs curves are an effective way to compare economic and conservation tradeoffs when field-specific data are scarce. The results show that sustainable agricultural practices can balance soil conservation and agricultural production; land need not be retired, as is current policy. Published by Elsevier Ltd.

  16. An AgMIP framework for improved agricultural representation in integrated assessment models

    NASA Astrophysics Data System (ADS)

    Ruane, Alex C.; Rosenzweig, Cynthia; Asseng, Senthold; Boote, Kenneth J.; Elliott, Joshua; Ewert, Frank; Jones, James W.; Martre, Pierre; McDermid, Sonali P.; Müller, Christoph; Snyder, Abigail; Thorburn, Peter J.

    2017-12-01

    Integrated assessment models (IAMs) hold great potential to assess how future agricultural systems will be shaped by socioeconomic development, technological innovation, and changing climate conditions. By coupling with climate and crop model emulators, IAMs have the potential to resolve important agricultural feedback loops and identify unintended consequences of socioeconomic development for agricultural systems. Here we propose a framework to develop robust representation of agricultural system responses within IAMs, linking downstream applications with model development and the coordinated evaluation of key climate responses from local to global scales. We survey the strengths and weaknesses of protocol-based assessments linked to the Agricultural Model Intercomparison and Improvement Project (AgMIP), each utilizing multiple sites and models to evaluate crop response to core climate changes including shifts in carbon dioxide concentration, temperature, and water availability, with some studies further exploring how climate responses are affected by nitrogen levels and adaptation in farm systems. Site-based studies with carefully calibrated models encompass the largest number of activities; however they are limited in their ability to capture the full range of global agricultural system diversity. Representative site networks provide more targeted response information than broadly-sampled networks, with limitations stemming from difficulties in covering the diversity of farming systems. Global gridded crop models provide comprehensive coverage, although with large challenges for calibration and quality control of inputs. Diversity in climate responses underscores that crop model emulators must distinguish between regions and farming system while recognizing model uncertainty. Finally, to bridge the gap between bottom-up and top-down approaches we recommend the deployment of a hybrid climate response system employing a representative network of sites to bias

  17. Representative Agricultural Pathways and Climate Impact Assessment for Pacific Northwest Agricultural Systems

    NASA Astrophysics Data System (ADS)

    MU, J.; Antle, J. M.; Zhang, H.; Capalbo, S. M.; Eigenbrode, S.; Kruger, C.; Stockle, C.; Wolfhorst, J. D.

    2013-12-01

    Representative Agricultural Pathways (RAPs) are projections of plausible future biophysical and socio-economic conditions used to carry out climate impact assessments for agriculture. The development of RAPs iss motivated by the fact that the various global and regional models used for agricultural climate change impact assessment have been implemented with individualized scenarios using various data and model structures, often without transparent documentation or public availability. These practices have hampered attempts at model inter-comparison, improvement, and synthesis of model results across studies. This paper aims to (1) present RAPs developed for the principal wheat-producing region of the Pacific Northwest, and to (2) combine these RAPs with downscaled climate data, crop model simulations and economic model simulations to assess climate change impacts on winter wheat production and farm income. This research was carried out as part of a project funded by the USDA known as the Regional Approaches to Climate Change in the Pacific Northwest (REACCH). The REACCH study region encompasses the major winter wheat production area in Pacific Northwest and preliminary research shows that farmers producing winter wheat could benefit from future climate change. However, the future world is uncertain in many dimensions, including commodity and input prices, production technology, and policies, as well as increased probability of disturbances (pests and diseases) associated with a changing climate. Many of these factors cannot be modeled, so they are represented in the regional RAPS. The regional RAPS are linked to global agricultural and shared social-economic pathways, and used along with climate change projections to simulate future outcomes for the wheat-based farms in the REACCH region.

  18. Establishing a publicly available national database of US news articles reporting agriculture-related injuries and fatalities.

    PubMed

    Weichelt, Bryan; Salzwedel, Marsha; Heiberger, Scott; Lee, Barbara C

    2018-05-22

    The AgInjuryNews system and dataset are a news report repository and information source for agricultural safety professionals, policymakers, journalists, and law enforcement officials. AgInjuryNews was designed as a primary storage and retrieval system that allows users to: identify agricultural injury/fatality events; identify injury agents and emerging issues; provide safety messages for media in anticipation of trends; and raise awareness and knowledge of agricultural injuries and prevention strategies. Data are primarily collected through Google Alerts and a digital media subscription service. Articles are screened, reviewed, coded, and entered into the system. As of January 1, 2018, the system contained 3028 unique incidents. Of those, 650 involved youth, and 1807 were fatalities. The system also had registered 329 users from 39 countries. AgInjuryNews combines injury reports into one dataset and may be the most current and comprehensive publicly available collection of news reports on agricultural injuries and deaths. © 2018 Wiley Periodicals, Inc.

  19. Critical Thinking for Natural Resource, Agricultural, and Environmental Ethics Education

    ERIC Educational Resources Information Center

    Quinn, Courtney; Burbach, Mark E.; Matkin, Gina S.; Flores, Kevin

    2009-01-01

    Future decision makers in natural resource fields will be required to make judgments on issues that lack clear solutions and with information complicated by ethical challenges. Therefore, natural resource, environmental, and agricultural professionals must possess the ability to think critically about the consequences of policy, economic systems,…

  20. A conservation ontology and knowledge base to support delivery of technical assistance to agricultural producers in the united states

    USDA-ARS?s Scientific Manuscript database

    Information systems supporting the delivery of conservation technical assistance by the United States Department of Agriculture (USDA) to agricultural producers on working lands have become increasingly complex over the past 25 years. They are constrained by inconsistent coordination of domain knowl...

  1. Sensor Architecture and Task Classification for Agricultural Vehicles and Environments

    PubMed Central

    Rovira-Más, Francisco

    2010-01-01

    The long time wish of endowing agricultural vehicles with an increasing degree of autonomy is becoming a reality thanks to two crucial facts: the broad diffusion of global positioning satellite systems and the inexorable progress of computers and electronics. Agricultural vehicles are currently the only self-propelled ground machines commonly integrating commercial automatic navigation systems. Farm equipment manufacturers and satellite-based navigation system providers, in a joint effort, have pushed this technology to unprecedented heights; yet there are many unresolved issues and an unlimited potential still to uncover. The complexity inherent to intelligent vehicles is rooted in the selection and coordination of the optimum sensors, the computer reasoning techniques to process the acquired data, and the resulting control strategies for automatic actuators. The advantageous design of the network of onboard sensors is necessary for the future deployment of advanced agricultural vehicles. This article analyzes a variety of typical environments and situations encountered in agricultural fields, and proposes a sensor architecture especially adapted to cope with them. The strategy proposed groups sensors into four specific subsystems: global localization, feedback control and vehicle pose, non-visual monitoring, and local perception. The designed architecture responds to vital vehicle tasks classified within three layers devoted to safety, operative information, and automatic actuation. The success of this architecture, implemented and tested in various agricultural vehicles over the last decade, rests on its capacity to integrate redundancy and incorporate new technologies in a practical way. PMID:22163522

  2. Sensor architecture and task classification for agricultural vehicles and environments.

    PubMed

    Rovira-Más, Francisco

    2010-01-01

    The long time wish of endowing agricultural vehicles with an increasing degree of autonomy is becoming a reality thanks to two crucial facts: the broad diffusion of global positioning satellite systems and the inexorable progress of computers and electronics. Agricultural vehicles are currently the only self-propelled ground machines commonly integrating commercial automatic navigation systems. Farm equipment manufacturers and satellite-based navigation system providers, in a joint effort, have pushed this technology to unprecedented heights; yet there are many unresolved issues and an unlimited potential still to uncover. The complexity inherent to intelligent vehicles is rooted in the selection and coordination of the optimum sensors, the computer reasoning techniques to process the acquired data, and the resulting control strategies for automatic actuators. The advantageous design of the network of onboard sensors is necessary for the future deployment of advanced agricultural vehicles. This article analyzes a variety of typical environments and situations encountered in agricultural fields, and proposes a sensor architecture especially adapted to cope with them. The strategy proposed groups sensors into four specific subsystems: global localization, feedback control and vehicle pose, non-visual monitoring, and local perception. The designed architecture responds to vital vehicle tasks classified within three layers devoted to safety, operative information, and automatic actuation. The success of this architecture, implemented and tested in various agricultural vehicles over the last decade, rests on its capacity to integrate redundancy and incorporate new technologies in a practical way.

  3. Radio/antenna mounting system for wireless networking under row-crop agriculture conditions

    USDA-ARS?s Scientific Manuscript database

    Interest in and deployment of wireless monitoring systems is increasing in many diverse environments, including row-crop agricultural fields. While many studies have been undertaken to evaluate various aspects of wireless monitoring and networking, such as electronic hardware components, data-colle...

  4. Application of a geographic information system in analyzing the occurrence of atrazine in groundwater of the mid-continental United States

    USGS Publications Warehouse

    Burkart, M.R.; Kolpin, D.W.

    1993-01-01

    The US Geological Survey, US Department of Agriculture, and US Environmental Protection Agency are conducting research and regional assessments in support of policy alternatives intended to protect water resources from agricultural chemical contamination. The mid-continent was selected because of the intense row crop agriculture and associated herbicide application in this region. An application of a geographic information system is demonstrated for analyzing and comparing the distribution of estimated atrazine use to the detection rate of atrazine in groundwater. Understanding the relations between atrazine use and detection in groundwater is important in policy deliberations to protect water resources. Relational analyses between measures of chemical use and detection rate by natural resource units may provide insight into critical factors controlling the processes that result in groundwater contamination from agricultural chemicals. 

  5. 75 FR 33760 - Information Collection; Virtual Incident Procurement (VIPR) System Existing Vendor Survey

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-06-15

    ... DEPARTMENT OF AGRICULTURE Forest Service Information Collection; Virtual Incident Procurement... from all interested individuals and organizations on the new information collection, Virtual Incident....t., Monday through Friday. SUPPLEMENTARY INFORMATION: Title: Virtual Incident Procurement (VIPR...

  6. Quantifying the Value of Satellite Imagery in Agriculture and other Sectors

    NASA Astrophysics Data System (ADS)

    Brown, M. E.; Abbott, P. C.; Escobar, V. M.

    2013-12-01

    This study focused on quantifying the commercial value of satellite remote sensing for agriculture. Commercial value from satellite imagery arises when improved information leads to better economic decisions. We identified five areas of application of remote sensing to agriculture where there is this potential: crop management (precision agriculture), insurance, real estate assessment, crop forecasting, and environmental monitoring. These applications can be divided between public information (crop forecasting) and those that may generate private commercial value (crop management), with both public and private information dimensions in some categories. Public information applications of remote sensing have been more successful in the past, and are likely to generate more economic value in the future. It was found that several issues have limited realization of the potential to generate private value from remote sensing in agriculture. The scale of use is small to the high cost of acquiring and interpreting large images has limited the cost effectiveness to individual farmers. Insurance, environmental monitoring, and crop management services by cooperatives or consultants may be cases overcoming this limitation. The greatest opportunities for potential commercial value from agriculture are probably in the crop forecasting area, especially where agricultural statistics services are not as well developed, since public market information benefits a broad range of economic actors, not limited to countries where forecasts are made. We estimate here the value from components of USDA's World Agricultural Supply and Demand Estimates (WASDE) forecasts for corn, indicating potential value increasing in the range of 60 to 240 million if improved satellite based information enhances those forecasts. The research was conducted by agricultural economists at Purdue University, and will be the basis for further evaluation of the use of satellite data within the NASA Carbon

  7. Emergy evaluation of the contribution of irrigation water, and its utilization, in three agricultural systems in China

    NASA Astrophysics Data System (ADS)

    Chen, Dan; Luo, Zhaohui; Webber, Michael; Chen, Jing; Wang, Weiguang

    2014-09-01

    Emergy theory and method are used to evaluate the contribution of irrigation water, and the process of its utilization, in three agricultural systems. The agricultural systems evaluated in this study were rice, wheat, and oilseed rape productions in an irrigation pumping district of China. A corresponding framework for emergy evaluation and sensitivity analysis methods was proposed. Two new indices, the fraction of irrigation water ( FIW), and the irrigation intensity of agriculture ( IIA), were developed to depict the contribution of irrigation water. The calculated FIW indicated that irrigation water used for the rice production system (34.7%) contributed more than irrigation water used for wheat (5.3%) and oilseed rape (11.2%) production systems in a typical dry year. The wheat production with an IIA of 19.0 had the highest net benefit from irrigation compared to the rice (2.9) and oilseed rape (8.9) productions. The transformities of the systems' products represented different energy efficiencies for rice (2.50E + 05 sej·J-1), wheat (1.66E + 05 sej·J-1) and oilseed rape (2.14E + 05 sej·J-1) production systems. According to several emergy indices, of the three systems evaluated, the rice system had the greatest level of sustainability. However, all of them were less sustainable than the ecological agricultural systems. A sensitivity analysis showed that the emergy inputs of irrigation water and nitrogenous fertilizer were the highest sensitivity factors influencing the emergy ratios. Best Management Practices, and other agroecological strategies, could be implemented to make further improvements in the sustainability of the three systems.

  8. Medium Range Flood Forecasting for Agriculture Damage Reduction

    NASA Astrophysics Data System (ADS)

    Fakhruddin, S. H. M.

    2014-12-01

    Early warning is a key element for disaster risk reduction. In recent decades, major advancements have been made in medium range and seasonal flood forecasting. This progress provides a great opportunity to reduce agriculture damage and improve advisories for early action and planning for flood hazards. This approach can facilitate proactive rather than reactive management of the adverse consequences of floods. In the agricultural sector, for instance, farmers can take a diversity of options such as changing cropping patterns, applying fertilizer, irrigating and changing planting timing. An experimental medium range (1-10 day) flood forecasting model has been developed for Bangladesh and Thailand. It provides 51 sets of discharge ensemble forecasts of 1-10 days with significant persistence and high certainty. This type of forecast could assist farmers and other stakeholders for differential preparedness activities. These ensembles probabilistic flood forecasts have been customized based on user-needs for community-level application focused on agriculture system. The vulnerabilities of agriculture system were calculated based on exposure, sensitivity and adaptive capacity. Indicators for risk and vulnerability assessment were conducted through community consultations. The forecast lead time requirement, user-needs, impacts and management options for crops were identified through focus group discussions, informal interviews and community surveys. This paper illustrates potential applications of such ensembles for probabilistic medium range flood forecasts in a way that is not commonly practiced globally today.

  9. An Obstacle Alerting System for Agricultural Application

    NASA Technical Reports Server (NTRS)

    DeMaio, Joe

    2003-01-01

    Wire strikes are a significant cause of helicopter accidents. The aircraft most at risk are aerial applicators. The present study examines the effectiveness of a wire alert delivered by way of the lightbar, a GPS-based guidance system for aerial application. The alert lead-time needed to avoid an invisible wire is compared with that to avoid a visible wire. A flight simulator was configured to simulate an agricultural application helicopter. Two pilots flew simulated spray runs in fields with visible wires, invisible wires, and no wires. The wire alert was effective in reducing wire strikes. A lead-time of 3.5 sec was required for the alert to be effective. The lead- time required was the same whether the pilot could see the wire or not.

  10. A satellite-driven, client-server hydro-economic model prototype for agricultural water management

    NASA Astrophysics Data System (ADS)

    Maneta, Marco; Kimball, John; He, Mingzhu; Payton Gardner, W.

    2017-04-01

    Anticipating agricultural water demand, land reallocation, and impact on farm revenues associated with different policy or climate constraints is a challenge for water managers and for policy makers. While current integrated decision support systems based on programming methods provide estimates of farmer reaction to external constraints, they have important shortcomings such as the high cost of data collection surveys necessary to calibrate the model, biases associated with inadequate farm sampling, infrequent model updates and recalibration, model overfitting, or their deterministic nature, among other problems. In addition, the administration of water supplies and the generation of policies that promote sustainable agricultural regions depend on more than one bureau or office. Unfortunately, managers from local and regional agencies often use different datasets of variable quality, which complicates coordinated action. To overcome these limitations, we present a client-server, integrated hydro-economic modeling and observation framework driven by satellite remote sensing and other ancillary information from regional monitoring networks. The core of the framework is a stochastic data assimilation system that sequentially ingests remote sensing observations and corrects the parameters of the hydro-economic model at unprecedented spatial and temporal resolutions. An economic model of agricultural production, based on mathematical programming, requires information on crop type and extent, crop yield, crop transpiration and irrigation technology. A regional hydro-climatologic model provides biophysical constraints to an economic model of agricultural production with a level of detail that permits the study of the spatial impact of large- and small-scale water use decisions. Crop type and extent is obtained from the Cropland Data Layer (CDL), which is multi-sensor operational classification of crops maintained by the United States Department of Agriculture. Because

  11. Differences in Fish, Amphibian, and Reptile Communities Within Wetlands Created by an Agricultural Water Recycling System in Northwestern Ohio

    USDA-ARS?s Scientific Manuscript database

    Establishment of a water recycling system known as the wetland-reservoir subirrigation system (WRSIS) results in the creation of wetlands adjacent to agricultural fields. Each WRSIS consists of one wetland designed to process agricultural chemicals (WRSIS wetlands) and one wetland to store subirriga...

  12. Evaluating the performance of a soil moisture data assimilation system for agricultural drought monitoring

    USDA-ARS?s Scientific Manuscript database

    Despite considerable interest in the application of land surface data assimilation systems (LDAS) for agricultural drought applications, relatively little is known about the large-scale performance of such systems and, thus, the optimal methodological approach for implementing them. To address this ...

  13. Agricultural Issues of Significance to Iowa Crop Producers and Their Educational Implications

    ERIC Educational Resources Information Center

    Licht, Melea A. R.; Martin, Robert A.

    2007-01-01

    The purpose of this study was to determine the agricultural information preferences of crop producers in Iowa and the implications for agricultural extension education. The objective was to identify agricultural information issues producers perceive as significant to their businesses. The results will help agricultural extension educators and…

  14. Localizing drought monitoring products to support agricultural climate service advisories in South Asia

    NASA Astrophysics Data System (ADS)

    Qamer, F. M.; Matin, M. A.; Yadav, N. K.; Bajracharya, B.; Zaitchik, B. F.; Ellenburg, W. L.; Krupnik, T. J.; Hussain, G.

    2017-12-01

    The Fifth Assessment Report of the Intergovernmental Panel on Climate Change identifies drought as one of the major climate risks in South Asia. During past two decades, a large amount of climate data have been made available by the scientific community, but the deployment of climate information for local level and agricultural decision making remains less than optimal. The provisioning of locally calibrated, easily accessible, decision-relevant and user-oriented information, in the form of drought advisory service could help to prepare communities to reduce climate vulnerability and increase resilience. A collaborative effort is now underway to strengthen existing and/or establish new drought monitoring and early warning systems in Afghanistan, Bangladesh, Nepal and Pakistan by incorporating standard ground-based observations, earth observation datasets, and numerical forecast models. ICT-based agriculture drought monitoring platforms, hosted at national agricultural and meteorological institutions, are being developed and coupled with communications and information deployment strategies to enable the rapid and efficient deployment of information that farmers can understand, interpret, and act on to adapt to anticipated droughts. Particular emphasis is being placed on the calibration and validation of data products through retrospective analysis of time series data, in addition to the installation of automatic weather station networks. In order to contextualize monitoring products to that they may be relevant for farmers' primary cropping systems, district level farming practices calendars are being compiled and validated through focus groups and surveys to identify the most important times and situations during which farmers can adapt to drought. High-resolution satellite crop distribution maps are under development and validation to add value to these efforts. This programme also aims to enhance capacity of agricultural extension staff to better understand

  15. Results and Interpretations from a Survey on Agriculturally Related Weather Information.

    NASA Astrophysics Data System (ADS)

    Weiss, A.; Robb, J. G.

    1986-01-01

    A survey Of "top" wheat farmers in 12 counties in western Nebraska was undertaken to help guide future research and extension programs (in agricultural meteorology and economics) in the region. One hundred forty-two farmers (59 percent of those receiving questionnaires) responded to the survey. Of the respondents, 42 percent own or are considering purchasing a personal computer; the vast majority of farmers own a rain gage and some form of temperature- measuring device; the respondents were moderately familiar with an existing Automated Weather Data Network in Nebraska; commercial and NOAA weather radio and commercial television are the main sources of weather data and information. short-term weather forecasts (1 day and 3-5 days) are most important to overall farm planning; respondents considered market and cost-of-production information and more-accurate weather forecasts most important in better management of their farm operations; the risk factors that impacted farm net income were economic followed by weather factors and marketing decisions; and most farmers would be willing to forward contract before the crop was half developed if good projections of crop status and yield could be made. A major constraint to preharvest forward contracting from some of the farmers' perspective appears to be variability in yield due to hail.

  16. Urban agriculture and Anopheles habitats in Dar es Salaam, Tanzania.

    PubMed

    Dongus, Stefan; Nyika, Dickson; Kannady, Khadija; Mtasiwa, Deo; Mshinda, Hassan; Gosoniu, Laura; Drescher, Axel W; Fillinger, Ulrike; Tanner, Marcel; Killeen, Gerry F; Castro, Marcia C

    2009-05-01

    A cross-sectional survey of agricultural areas, combined with routinely monitored mosquito larval information, was conducted in urban Dar es Salaam, Tanzania, to investigate how agricultural and geographical features may influence the presence of Anopheles larvae. Data were integrated into a geographical information systems framework, and predictors of the presence of Anopheles larvae in farming areas were assessed using multivariate logistic regression with independent random effects. It was found that more than 5% of the study area (total size 16.8 km2) was used for farming in backyard gardens and larger open spaces. The proportion of habitats containing Anopheles larvae was 1.7 times higher in agricultural areas compared to other areas (95% confidence interval = 1.56-1.92). Significant geographic predictors of the presence of Anopheles larvae in gardens included location in lowland areas, proximity to river, and relatively impermeable soils. Agriculture-related predictors comprised specific seedbed types, mid-sized gardens, irrigation by wells, as well as cultivation of sugar cane or leafy vegetables. Negative predictors included small garden size, irrigation by tap water, rainfed production and cultivation of leguminous crops or fruit trees. Although there was an increased chance of finding Anopheles larvae in agricultural sites, it was found that breeding sites originated by urban agriculture account for less than a fifth of all breeding sites of malaria vectors in Dar es Salaam. It is suggested that strategies comprising an integrated malaria control effort in malaria-endemic African cities include participatory involvement of farmers by planting shade trees near larval habitats.

  17. An overview of crop growing condition monitoring in China agriculture remote sensing monitoring system

    NASA Astrophysics Data System (ADS)

    Huang, Qing; Zhou, Qing-bo; Zhang, Li

    2009-07-01

    China is a large agricultural country. To understand the agricultural production condition timely and accurately is related to government decision-making, agricultural production management and the general public concern. China Agriculture Remote Sensing Monitoring System (CHARMS) can monitor crop acreage changes, crop growing condition, agriculture disaster (drought, floods, frost damage, pest etc.) and predict crop yield etc. quickly and timely. The basic principles, methods and regular operation of crop growing condition monitoring in CHARMS are introduced in detail in the paper. CHARMS can monitor crop growing condition of wheat, corn, cotton, soybean and paddy rice with MODIS data. An improved NDVI difference model was used in crop growing condition monitoring in CHARMS. Firstly, MODIS data of every day were received and processed, and the max NDVI values of every fifteen days of main crop were generated, then, in order to assessment a certain crop growing condition in certain period (every fifteen days, mostly), the system compare the remote sensing index data (NDVI) of a certain period with the data of the period in the history (last five year, mostly), the difference between NDVI can indicate the spatial difference of crop growing condition at a certain period. Moreover, Meteorological data of temperature, precipitation and sunshine etc. as well as the field investigation data of 200 network counties were used to modify the models parameters. Last, crop growing condition was assessment at four different scales of counties, provinces, main producing areas and nation and spatial distribution maps of crop growing condition were also created.

  18. Do Farmers Using Conventional and Non-Conventional Systems of Agriculture Have Different Perceptions of the Diversity of Wild Birds? Implications for Conservation.

    PubMed

    Silva-Andrade, Horasa Lima; de Andrade, Luciano Pires; Muniz, Lauana Souza; Telino-Júnior, Wallace Rodrigues; Albuquerque, Ulysses Paulino; Lyra-Neves, Rachel Maria

    2016-01-01

    Farmers' perceptions of birds' interactions with agricultural production systems are fundamental to species conservation efforts. In the present study, we evaluated the perceptions of birds held by farmers who engage in conventional and non-conventional agricultural production processes and the implications of potential differences in these perceptions on species conservation. To accomplish this, data were collected using questionnaires, semi-structured interviews, and other complementary sources of information gathered from 191 farmers in northeastern Brazil. Although some similarities were identified among the farmers in their perceptions and local ecological knowledge (LEK) of birds, differences existed between the conventional and non-conventional farmers in their attitudes toward, conflicts with, and usage of bird species. Compared to the conventional farmers, the non-conventional farmers could identify more bird species, possessed more favorable attitudes toward birds, and engaged in practices more beneficial to the conservation of avifauna. The perceptions that were identified were related to the type of agriculture practiced, and such perceptions may affect the conservation of bird species. Therefore, the adoption of certain agricultural practices has important implications for conservation. Our results indicate the need for investment in public policies, programs and actions that account for farmers' knowledge and perceptions. Such investments will contribute to the development and adoption of practices supporting wild bird conservation in agricultural areas.

  19. Do Farmers Using Conventional and Non-Conventional Systems of Agriculture Have Different Perceptions of the Diversity of Wild Birds? Implications for Conservation

    PubMed Central

    de Andrade, Luciano Pires; Muniz, Lauana Souza; Telino-Júnior, Wallace Rodrigues; Albuquerque, Ulysses Paulino; Lyra-Neves, Rachel Maria

    2016-01-01

    Farmers’ perceptions of birds’ interactions with agricultural production systems are fundamental to species conservation efforts. In the present study, we evaluated the perceptions of birds held by farmers who engage in conventional and non-conventional agricultural production processes and the implications of potential differences in these perceptions on species conservation. To accomplish this, data were collected using questionnaires, semi-structured interviews, and other complementary sources of information gathered from 191 farmers in northeastern Brazil. Although some similarities were identified among the farmers in their perceptions and local ecological knowledge (LEK) of birds, differences existed between the conventional and non-conventional farmers in their attitudes toward, conflicts with, and usage of bird species. Compared to the conventional farmers, the non-conventional farmers could identify more bird species, possessed more favorable attitudes toward birds, and engaged in practices more beneficial to the conservation of avifauna. The perceptions that were identified were related to the type of agriculture practiced, and such perceptions may affect the conservation of bird species. Therefore, the adoption of certain agricultural practices has important implications for conservation. Our results indicate the need for investment in public policies, programs and actions that account for farmers’ knowledge and perceptions. Such investments will contribute to the development and adoption of practices supporting wild bird conservation in agricultural areas. PMID:27243222

  20. Information Systems in Universities.

    ERIC Educational Resources Information Center

    Siegmann, Robert M.

    This report considers universities as information systems because their effective operation is based on the storage, processing, and communication of various types of information. Three basic types of information systems (administrator-, teacher-, and researcher-oriented) are discussed in an attempt to understand each system's operation from the…

  1. Earthquake Information System

    NASA Technical Reports Server (NTRS)

    1991-01-01

    IAEMIS (Integrated Automated Emergency Management Information System) is the principal tool of an earthquake preparedness program developed by Martin Marietta and the Mid-America Remote Sensing Center (MARC). It is a two-component set of software, data and procedures to provide information enabling management personnel to make informed decisions in disaster situations. The NASA-developed program ELAS, originally used to analyze Landsat data, provides MARC with a spatially-oriented information management system. Additional MARC projects include land resources management, and development of socioeconomic data.

  2. Effects of agriculture production systems on nitrate and nitrite accumulation on baby-leaf salads

    PubMed Central

    Aires, Alfredo; Carvalho, Rosa; Rosa, Eduardo A S; Saavedra, Maria J

    2013-01-01

    Nitrate and nitrite are widespread contaminants of vegetables, fruits, and waters. The levels of these compounds are increased as a result of using organic wastes from chemical industries, domestic wastes, effluents, nitrogenous fertilizers, and herbicides in agriculture. Therefore, determining the nitrate and nitrite levels in biological, food, and environmental samples is important to protect human health and the environment. In this context, we set this study, in which we report the effect of production system (conventional and organic) on the accumulation of nitrates and nitrites in fresh baby-leaf samples. The average levels of the nitrate () and nitrite () contents in six different baby-leaf salads of a single species (green lettuce, red lettuce, watercress, rucola, chard, and corn salad) produced in organic and conventional agriculture system were evaluated. Spectrophotometric analytical method recently published was validated and used. Nitrates and nitrites were detected in all samples. The nitrates levels from organic production varied between 1.45 and 6.40 mg/kg fresh weight (FW), whereas those from conventional production ranged from 10.5 to 45.19 mg/kg FW. The nitrites content was lower than nitrates and ranged from 0.32 to 1.89 mg/kg FW in organic production system and between 0.14 and 1.41 mg/kg FW in conventional production system. Our results showed that the nitrate content was dependent on the agricultural production system, while for nitrites, this dependency was less pronounced. PMID:24804008

  3. Generating an agricultural risk map based on limited ecological information: A case study using Sicyos angulatus.

    PubMed

    Osawa, Takeshi; Okawa, Shigenori; Kurokawa, Shunji; Ando, Shinichiro

    2016-12-01

    In this study, we propose a method for estimating the risk of agricultural damage caused by an invasive species when species-specific information is lacking. We defined the "risk" as the product of the invasion probability and the area of potentially damaged crop for production. As a case study, we estimated the risk imposed by an invasive weed, Sicyos angulatus, based on simple cellular simulations and governmental data on the area of crop that could potentially be damaged in Miyagi Prefecture, Japan. Simulation results revealed that the current distribution range was sufficiently accurate for practical purposes. Using these results and records of crop areas, we present risk maps for S. angulatus in agricultural fields. Managers will be able to use these maps to rapidly establish a management plan with minimal cost. Our approach will be valuable for establishing a management plan before or during the early stages of invasion.

  4. Probabilistic Decision Tools for Determining Impacts of Agricultural Development Policy on Household Nutrition

    NASA Astrophysics Data System (ADS)

    Whitney, Cory W.; Lanzanova, Denis; Muchiri, Caroline; Shepherd, Keith D.; Rosenstock, Todd S.; Krawinkel, Michael; Tabuti, John R. S.; Luedeling, Eike

    2018-03-01

    Governments around the world have agreed to end hunger and food insecurity and to improve global nutrition, largely through changes to agriculture and food systems. However, they are faced with a lot of uncertainty when making policy decisions, since any agricultural changes will influence social and biophysical systems, which could yield either positive or negative nutrition outcomes. We outline a holistic probability modeling approach with Bayesian Network (BN) models for nutritional impacts resulting from agricultural development policy. The approach includes the elicitation of expert knowledge for impact model development, including sensitivity analysis and value of information calculations. It aims at a generalizable methodology that can be applied in a wide range of contexts. To showcase this approach, we develop an impact model of Vision 2040, Uganda's development strategy, which, among other objectives, seeks to transform the country's agricultural landscape from traditional systems to large-scale commercial agriculture. Model results suggest that Vision 2040 is likely to have negative outcomes for the rural livelihoods it intends to support; it may have no appreciable influence on household hunger but, by influencing preferences for and access to quality nutritional foods, may increase the prevalence of micronutrient deficiency. The results highlight the trade-offs that must be negotiated when making decisions regarding agriculture for nutrition, and the capacity of BNs to make these trade-offs explicit. The work illustrates the value of BNs for supporting evidence-based agricultural development decisions.

  5. Forest to agriculture conversion in southern Belize: Implications for migrant land birds

    USGS Publications Warehouse

    Spruce, J.P.; Dowell, B.A.; Robbins, C.S.; Sader, S.A.; Doyle, Jamie K.; Schelhas, John

    1993-01-01

    Central America offers a suite of neotropical habitats vital to overwintering migrant land birds. The recent decline of many forest dwelling avian migrants is believed to be related in part to neotropical deforestation and land use change. However, spatio-temporal trends in neotropical habitat availability and avian migrant habitat use are largely unknown. Such information is needed to assess the impact of agriculture conversion on migrant land birds. In response, the USDI Fish and Wildlife Service and the University of Maine began a cooperative study in 1988 which applies remote sensing and field surveys to determine current habitat availability and avian migrant habitat use. Study sites include areas in Belize, Costa Rica, Guatemala and southern Mexico. Visual assessment of Landsat TM imagery indicates southern Belize forests are fragmented by various agricultural systems. Shifting agriculture is predominant in some areas, while permanent agriculture (citrus and mixed animal crops) is the primary system in others. This poster focuses on efforts to monitor forest to agriculture conversion in southern Belize using remote sensing, field surveys and GIS techniques. Procedures and avian migrant use of habitat are summarized.

  6. 7 CFR 1540.45 - Information.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... 7 Agriculture 10 2014-01-01 2014-01-01 false Information. 1540.45 Section 1540.45 Agriculture Regulations of the Department of Agriculture (Continued) FOREIGN AGRICULTURAL SERVICE, DEPARTMENT OF... From Certain Andean Countries § 1540.45 Information. Persons desiring information from the Department...

  7. 7 CFR 1540.45 - Information.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... 7 Agriculture 10 2013-01-01 2013-01-01 false Information. 1540.45 Section 1540.45 Agriculture Regulations of the Department of Agriculture (Continued) FOREIGN AGRICULTURAL SERVICE, DEPARTMENT OF... From Certain Andean Countries § 1540.45 Information. Persons desiring information from the Department...

  8. 7 CFR 1540.45 - Information.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... 7 Agriculture 10 2012-01-01 2012-01-01 false Information. 1540.45 Section 1540.45 Agriculture Regulations of the Department of Agriculture (Continued) FOREIGN AGRICULTURAL SERVICE, DEPARTMENT OF... From Certain Andean Countries § 1540.45 Information. Persons desiring information from the Department...

  9. 7 CFR 1540.45 - Information.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 7 Agriculture 10 2011-01-01 2011-01-01 false Information. 1540.45 Section 1540.45 Agriculture Regulations of the Department of Agriculture (Continued) FOREIGN AGRICULTURAL SERVICE, DEPARTMENT OF... From Certain Andean Countries § 1540.45 Information. Persons desiring information from the Department...

  10. 7 CFR 1540.45 - Information.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 7 Agriculture 10 2010-01-01 2010-01-01 false Information. 1540.45 Section 1540.45 Agriculture Regulations of the Department of Agriculture (Continued) FOREIGN AGRICULTURAL SERVICE, DEPARTMENT OF... From Certain Andean Countries § 1540.45 Information. Persons desiring information from the Department...

  11. A Study of Job Demands and Curriculum Development in Agricultural Training Related to the Muskegon County Wastewater Management System. Final Report. Volume IV. Career Awareness Information.

    ERIC Educational Resources Information Center

    Fisher, Harold S.; And Others

    This is the final volume of a four-volume report of a research project designed to (1) identify job needs for agricultural occupations which will result from the Muskegon County Wastewater Management System and perform a task analysis on each occupation, (2) develop instructional modules and determine their place in either high school or 2-year…

  12. Symposium on Geographic Information Systems.

    ERIC Educational Resources Information Center

    Felleman, John, Ed.

    1990-01-01

    Six papers on geographic information systems cover the future of geographic information systems, land information systems modernization in Wisconsin, the Topologically Integrated Geographic Encoding and Referencing (TIGER) System of the U.S. Bureau of the Census, satellite remote sensing, geographic information systems and sustainable development,…

  13. Resource Guide to Educational Materials about Agriculture. A Project of Agriculture in the Classroom. 1996 Edition.

    ERIC Educational Resources Information Center

    Department of Agriculture, Washington, DC. Office of the Secretary.

    This resource guide provides a list of materials available from public and private sources on agriculture and related issues. More than 300 organizations and publishers were asked what materials they were producing that could help regular K-12 classroom teachers incorporate more information about agriculture into their instruction. This guide is…

  14. Applications of color machine vision in the agricultural and food industries

    NASA Astrophysics Data System (ADS)

    Zhang, Min; Ludas, Laszlo I.; Morgan, Mark T.; Krutz, Gary W.; Precetti, Cyrille J.

    1999-01-01

    Color is an important factor in Agricultural and the Food Industry. Agricultural or prepared food products are often grade by producers and consumers using color parameters. Color is used to estimate maturity, sort produce for defects, but also perform genetic screenings or make an aesthetic judgement. The task of sorting produce following a color scale is very complex, requires special illumination and training. Also, this task cannot be performed for long durations without fatigue and loss of accuracy. This paper describes a machine vision system designed to perform color classification in real-time. Applications for sorting a variety of agricultural products are included: e.g. seeds, meat, baked goods, plant and wood.FIrst the theory of color classification of agricultural and biological materials is introduced. Then, some tools for classifier development are presented. Finally, the implementation of the algorithm on real-time image processing hardware and example applications for industry is described. This paper also presented an image analysis algorithm and a prototype machine vision system which was developed for industry. This system will automatically locate the surface of some plants using digital camera and predict information such as size, potential value and type of this plant. The algorithm developed will be feasible for real-time identification in an industrial environment.

  15. National Agricultural Library 1975 Annual Report.

    ERIC Educational Resources Information Center

    National Agricultural Library (USDA), Washington, DC.

    The primary service of the National Agricultural Library (NAL), the distribution of information about agricultural literature, is accomplished through: (1) establishment of on-line data bases: Cataloging and Indexing (CAIN) containing bibliographic records of documents in the Library, and Serials Titles Automated Records (STAR); (2) automated…

  16. Revitalizing executive information systems.

    PubMed

    Crockett, F

    1992-01-01

    As the saying goes, "garbage in, garbage out"--and this is as true for executive information systems as for any other computer system. Crockett presents a methodology he has used with clients to help them develop more useful systems that produce higher quality information. The key is to develop performance measures based on critical success factors and stakeholder expectations and then to link them cross functionally to show how progress is being made on strategic goals. Feedback from the executive information system then informs strategy formulation, business plan development, and operational activities.

  17. Magnitude of anthropogenic phosphorus storage in the agricultural production and the waste management systems at the regional and country scales.

    PubMed

    Chowdhury, Rubel Biswas; Chakraborty, Priyanka

    2016-08-01

    Based on a systematic review of 17 recent substance flow analyses of phosphorus (P) at the regional and country scales, this study presents an assessment of the magnitude of anthropogenic P storage in the agricultural production and the waste management systems to identify the potential for minimizing unnecessary P storage to reduce the input of P as mineral fertilizer and the loss of P. The assessment indicates that in case of all (6) P flow analyses at the regional scale, the combined mass of annual P storage in the agricultural production and the waste management systems is greater than 50 % of the mass of annual P inflow as mineral fertilizer in the agricultural production system, while this is close to or more than 100 % in case of half of these analyses. At the country scale, in case of the majority (7 out of 11) of analyses, the combined mass of annual P storage in the agricultural production and the waste management systems has been found to be roughly equivalent or greater than 100 % of the mass of annual P inflow as mineral fertilizer in the agricultural production system, while it ranged from 30 to 60 % in the remaining analyses. A simple scenario analysis has revealed that the annual storage of P in this manner over 100 years could result in the accumulation of a massive amount of P in the agricultural production and the waste management systems at both the regional and country scales. This study suggests that sustainable P management initiatives at the regional and country scales should put more emphasis on minimizing unwanted P storage in the agricultural production and the waste management systems.

  18. Service Center for Climate Change Adaptation in Agriculture - an initiative of the University of West Hungary

    NASA Astrophysics Data System (ADS)

    Matyas, Cs.; Berki, I.; Drüszler, A.; Eredics, A.; Galos, B.; Moricz, N.; Rasztovits, E.

    2012-04-01

    In whole Central Europe agricultural production is highly vulnerable and sensitive to impacts of projected climatic changes. The low-elevation regions of the Carpathian Basin (most of the territory of Hungary), where precipitation is the minimum factor of production, are especially exposed to climatic extremes, especially to droughts. Rainfed agriculture, animal husbandry on nature-close pastures and nature-close forestry are the most sensitive sectors due to limited possibilities to counterbalance moisture supply constraints. These sectors have to be best prepared to frequency increase of extreme events, disasters and economic losses. So far, there is a lack of information about the middle and long term consequences on regional and local level. Therefore the importance of complex, long term management planning and of land use optimation is increasing. The aim of the initiative is to set up a fine-scale, GIS-based, complex, integrated system for the definition of the most important regional and local challenges and tasks of climate change adaptation and mitigation in agriculture, forestry, animal husbandry and also nature protection. The Service Center for Climate Change Adaptation in Agriculture is planned to provide the following services: § Complex, GIS-supported database, which integrates the basic information about present and projected climates, extremes, hydrology and soil conditions; § Evaluation of existing satellite-based and earth-based monitoring systems; § GIS-supported information about the future trends of climate change impacts on the agroecological potential and sensitivity status on regional and local level (e.g. land cover/use and expectable changes, production, water and carbon cycle, biodiversity and other ecosystem services, potential pests and diseases, tolerance limits etc.) in fine-scale horizontal resolution, based first of all on natural produce, including also social and economic consequences; § Complex decision supporting system on

  19. Using landscape typologies to model socioecological systems: Application to agriculture of the United States Gulf Coast

    DOE PAGES

    Preston, Benjamin L.; King, Anthony Wayne; Mei, Rui; ...

    2016-02-11

    Agricultural enterprises are vulnerable to the effects of climate variability and change. Improved understanding of the determinants of vulnerability and adaptive capacity in agricultural systems is important for projecting and managing future climate risk. At present, three analytical tools dominate methodological approaches to understanding agroecological vulnerability to climate: process-based crop models, empirical crop models, and integrated assessment models. A common weakness of these approaches is their limited treatment of socio-economic conditions and human agency in modeling agroecological processes and outcomes. This study proposes a framework that uses spatial cluster analysis to generate regional socioecological typologies that capture geographic variance inmore » regional agricultural production and enable attribution of that variance to climatic, topographic, edaphic, and socioeconomic components. This framework was applied to historical corn production (1986-2010) in the U.S. Gulf of Mexico region as a testbed. The results demonstrate that regional socioeconomic heterogeneity is an important driving force in human dominated ecosystems, which we hypothesize, is a function of the link between socioeconomic conditions and the adaptive capacity of agricultural systems. Meaningful representation of future agricultural responses to climate variability and change is contingent upon understanding interactions among biophysical conditions, socioeconomic conditions, and human agency their incorporation in predictive models.« less

  20. Using landscape typologies to model socioecological systems: Application to agriculture of the United States Gulf Coast

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Preston, Benjamin L.; King, Anthony Wayne; Mei, Rui

    Agricultural enterprises are vulnerable to the effects of climate variability and change. Improved understanding of the determinants of vulnerability and adaptive capacity in agricultural systems is important for projecting and managing future climate risk. At present, three analytical tools dominate methodological approaches to understanding agroecological vulnerability to climate: process-based crop models, empirical crop models, and integrated assessment models. A common weakness of these approaches is their limited treatment of socio-economic conditions and human agency in modeling agroecological processes and outcomes. This study proposes a framework that uses spatial cluster analysis to generate regional socioecological typologies that capture geographic variance inmore » regional agricultural production and enable attribution of that variance to climatic, topographic, edaphic, and socioeconomic components. This framework was applied to historical corn production (1986-2010) in the U.S. Gulf of Mexico region as a testbed. The results demonstrate that regional socioeconomic heterogeneity is an important driving force in human dominated ecosystems, which we hypothesize, is a function of the link between socioeconomic conditions and the adaptive capacity of agricultural systems. Meaningful representation of future agricultural responses to climate variability and change is contingent upon understanding interactions among biophysical conditions, socioeconomic conditions, and human agency their incorporation in predictive models.« less

  1. 7 CFR 1260.169 - Promotion, research, consumer information and industry information.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... industry information. 1260.169 Section 1260.169 Agriculture Regulations of the Department of Agriculture... Operating Committee § 1260.169 Promotion, research, consumer information and industry information. The... approval any plans and projects for promotion, research, consumer information and industry information...

  2. 7 CFR 1260.169 - Promotion, research, consumer information and industry information.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... industry information. 1260.169 Section 1260.169 Agriculture Regulations of the Department of Agriculture... Operating Committee § 1260.169 Promotion, research, consumer information and industry information. The... approval any plans and projects for promotion, research, consumer information and industry information...

  3. 7 CFR 1260.169 - Promotion, research, consumer information and industry information.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... industry information. 1260.169 Section 1260.169 Agriculture Regulations of the Department of Agriculture... Operating Committee § 1260.169 Promotion, research, consumer information and industry information. The... approval any plans and projects for promotion, research, consumer information and industry information...

  4. 7 CFR 1260.169 - Promotion, research, consumer information and industry information.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... industry information. 1260.169 Section 1260.169 Agriculture Regulations of the Department of Agriculture... Operating Committee § 1260.169 Promotion, research, consumer information and industry information. The... approval any plans and projects for promotion, research, consumer information and industry information...

  5. 12 CFR 617.7610 - What should the System institution do when it decides to sell acquired agricultural real estate?

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ...) Within 15 days of the System institution's decision to sell acquired agricultural real estate, it must... decision and sell the acquired agricultural real estate to the previous owner within 15 days of receiving...) If the System institution rejects this offer, it must notify the previous owner of the decision...

  6. Behavior of antibiotics and antibiotic resistance genes in eco-agricultural system: A case study.

    PubMed

    Cheng, Weixiao; Li, Jianan; Wu, Ying; Xu, Like; Su, Chao; Qian, Yanyun; Zhu, Yong-Guan; Chen, Hong

    2016-03-05

    This study aims to determine abundance and persistence of antibiotics and antibiotic resistance genes (ARGs) in eco-agricultural system (EAS), which starts from swine feces to anaerobic digestion products, then application of anaerobic digestion solid residue (ADSR) and anaerobic digestion liquid residue (ADLR) to the soil to grow ryegrass, one of swine feed. Oxytetracycline had the highest concentration in manure reaching up to 138.7 mg/kg. Most of antibiotics could be effectively eliminated by anaerobic digestion and removal rates ranged from 11% to 86%. ARGs abundance fluctuated within EAS. TetQ had the highest relative abundance and the relative abundance of tetG had the least variation within the system, which indicates that tetG is persistent in the agricultural environment and requires more attention. Compared to the relative abundance in manure, tetC and tetM increased in biogas residue while three ribosomal protection proteins genes (tetO, tetQ, tetW) decreased (p<0.05), with other genes showing no significant change after anaerobic fermentation (p>0.05). Most ARGs in downstream components (soils and fishpond) of EAS showed significantly higher relative abundance than the control agricultural system (p<0.05), except for tetG and sulI. Copyright © 2015 Elsevier B.V. All rights reserved.

  7. 7 CFR 1206.107 - Confidential information.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 7 Agriculture 10 2010-01-01 2010-01-01 false Confidential information. 1206.107 Section 1206.107 Agriculture Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (MARKETING... INFORMATION Referendum Procedures. § 1206.107 Confidential information. The ballots and other information or...

  8. Space Station Information Systems

    NASA Technical Reports Server (NTRS)

    Pittman, Clarence W.

    1988-01-01

    The utility of the Space Station is improved, the ability to manage and integrate its development and operation enhanced, and the cost and risk of developing the software for it is minimized by three major information systems. The Space Station Information System (SSIS) provides for the transparent collection and dissemination of operational information to all users and operators. The Technical and Management Information System (TMIS) provides all the developers with timely and consistent program information and a project management 'window' to assess the project status. The Software Support Environment (SSE) provides automated tools and standards to be used by all software developers. Together, these three systems are vital to the successful execution of the program.

  9. Searching for solutions to mitigate greenhouse gas emissions by agricultural policy decisions--Application of system dynamics modeling for the case of Latvia.

    PubMed

    Dace, Elina; Muizniece, Indra; Blumberga, Andra; Kaczala, Fabio

    2015-09-15

    European Union (EU) Member States have agreed to limit their greenhouse gas (GHG) emissions from sectors not covered by the EU Emissions Trading Scheme (non-ETS). That includes also emissions from agricultural sector. Although the Intergovernmental Panel on Climate Change (IPCC) has established a methodology for assessment of GHG emissions from agriculture, the forecasting options are limited, especially when policies and their interaction with the agricultural system are tested. Therefore, an advanced tool, a system dynamics model, was developed that enables assessment of effects various decisions and measures have on agricultural GHG emissions. The model is based on the IPCC guidelines and includes the main elements of an agricultural system, i.e. land management, livestock farming, soil fertilization and crop production, as well as feedback mechanisms between the elements. The case of Latvia is selected for simulations, as agriculture generates 22% of the total anthropogenic GHG emissions in the country. The results demonstrate that there are very limited options for GHG mitigation in the agricultural sector. Thereby, reaching the non-ETS GHG emission targets will be very challenging for Latvia, as the level of agricultural GHG emissions will be exceeded considerably above the target levels. Thus, other non-ETS sectors will have to reduce their emissions drastically to "neutralize" the agricultural sector's emissions for reaching the EU's common ambition to move towards low-carbon economy. The developed model may serve as a decision support tool for impact assessment of various measures and decisions on the agricultural system's GHG emissions. Although the model is applied to the case of Latvia, the elements and structure of the model developed are similar to agricultural systems in many countries. By changing numeric values of certain parameters, the model can be applied to analyze decisions and measures in other countries. Copyright © 2015 Elsevier B.V. All

  10. Integrating seasonal climate prediction and agricultural models for insights into agricultural practice

    PubMed Central

    Hansen, James W

    2005-01-01

    Interest in integrating crop simulation models with dynamic seasonal climate forecast models is expanding in response to a perceived opportunity to add value to seasonal climate forecasts for agriculture. Integrated modelling may help to address some obstacles to effective agricultural use of climate information. First, modelling can address the mismatch between farmers' needs and available operational forecasts. Probabilistic crop yield forecasts are directly relevant to farmers' livelihood decisions and, at a different scale, to early warning and market applications. Second, credible ex ante evidence of livelihood benefits, using integrated climate–crop–economic modelling in a value-of-information framework, may assist in the challenge of obtaining institutional, financial and political support; and inform targeting for greatest benefit. Third, integrated modelling can reduce the risk and learning time associated with adaptation and adoption, and related uncertainty on the part of advisors and advocates. It can provide insights to advisors, and enhance site-specific interpretation of recommendations when driven by spatial data. Model-based ‘discussion support systems’ contribute to learning and farmer–researcher dialogue. Integrated climate–crop modelling may play a genuine, but limited role in efforts to support climate risk management in agriculture, but only if they are used appropriately, with understanding of their capabilities and limitations, and with cautious evaluation of model predictions and of the insights that arises from model-based decision analysis. PMID:16433092

  11. Commercial Pesticides Applicator Manual: Agriculture - Plant.

    ERIC Educational Resources Information Center

    Fitzwater, W. D.; And Others

    This training manual provides information needed to meet the minimum EPA standards for certification as a commercial applicator of pesticides in the agriculture-plant pest control category. The text discusses identification and control of insects, diseases, nematodes, and weeds of agricultural crops. Proper use of application equipment and safety…

  12. 12 CFR 617.7610 - What should the System institution do when it decides to sell acquired agricultural real estate?

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... decides to sell acquired agricultural real estate? 617.7610 Section 617.7610 Banks and Banking FARM CREDIT... institution do when it decides to sell acquired agricultural real estate? (a) Notify the previous owner, (1) Within 15 days of the System institution's decision to sell acquired agricultural real estate, it must...

  13. 12 CFR 617.7610 - What should the System institution do when it decides to sell acquired agricultural real estate?

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... decides to sell acquired agricultural real estate? 617.7610 Section 617.7610 Banks and Banking FARM CREDIT... institution do when it decides to sell acquired agricultural real estate? (a) Notify the previous owner, (1) Within 15 days of the System institution's decision to sell acquired agricultural real estate, it must...

  14. 12 CFR 617.7610 - What should the System institution do when it decides to sell acquired agricultural real estate?

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... decides to sell acquired agricultural real estate? 617.7610 Section 617.7610 Banks and Banking FARM CREDIT... institution do when it decides to sell acquired agricultural real estate? (a) Notify the previous owner, (1) Within 15 days of the System institution's decision to sell acquired agricultural real estate, it must...

  15. 12 CFR 617.7610 - What should the System institution do when it decides to sell acquired agricultural real estate?

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... decides to sell acquired agricultural real estate? 617.7610 Section 617.7610 Banks and Banking FARM CREDIT... institution do when it decides to sell acquired agricultural real estate? (a) Notify the previous owner, (1) Within 15 days of the System institution's decision to sell acquired agricultural real estate, it must...

  16. Pedoarchaeology of Early Agricultural Period Irrigation Systems in the Tucson Basin of the American Southwest

    NASA Astrophysics Data System (ADS)

    Homburg, Jeffrey; Nials, Fred

    2017-04-01

    Pedoarchaeological studies were conducted at the Las Capas and Sunset Road sites in the Tucson Basin of Arizona in order to document and evaluate soil productivity and hydraulic soil properties of ancient agricultural irrigation systems. These ancient irrigated fields are on the margin of the Santa Cruz River floodplain, between two alluvial fans where high water tables and stable to aggrading geomorphic conditions facilitated diverting water from drainages and directing it to fields by gravity-fed canal irrigation. Archaeological investigations at these sites recently provided opportunities for documenting the configuration and evolution of the oldest irrigation systems yet identified in the United States, the earliest dating to more than three millennia in age. This research is significant archaeologically because of: (1) the antiquity ( 575-1225 B.C.) of the Early Agricultural period irrigation systems at these sites, (2) the fact that irrigation systems dated to different times are separated stratigraphically within the sites, and (3) the fact that extensive, well-preserved gridded irrigation features were identified using mechanical stripping, with nearly 100 ancient footprints preserved on a buried agricultural surface at Sunset Road. The stratigraphic separation of buried surfaces that were irrigated and the abundant cultivated irrigation plots facilitated soil sampling so that field, border, and uncultivated control samples could be compared in order to measure the anthropogenic effects of agriculture on soil quality in the irragric soils. Long-term indicators of agricultural soil quality such as organic carbon, nutrient content, and hydraulic soil water properties such as available water capacity and saturated hydraulic conductivity, indicate that soil changes were generally favorable for agricultural production and that these ancient irrigation systems were sustainable. Canals regularly supplied water to the fields, but they also supplied nutrient

  17. Informing Drought Preparedness and Response with the South Asia Land Data Assimilation System

    NASA Astrophysics Data System (ADS)

    Zaitchik, B. F.; Ghatak, D.; Matin, M. A.; Qamer, F. M.; Adhikary, B.; Bajracharya, B.; Nelson, J.; Pulla, S. T.; Ellenburg, W. L.

    2017-12-01

    Decision-relevant drought monitoring in South Asia is a challenge from both a scientific and an institutional perspective. Scientifically, climatic diversity, inconsistent in situ monitoring, complex hydrology, and incomplete knowledge of atmospheric processes mean that monitoring and prediction are fraught with uncertainty. Institutionally, drought monitoring efforts need to align with the information needs and decision-making processes of relevant agencies at national and subnational levels. Here we present first results from an emerging operational drought monitoring and forecast system developed and supported by the NASA SERVIR Hindu-Kush Himalaya hub. The system has been designed in consultation with end users from multiple sectors in South Asian countries to maximize decision-relevant information content in the monitoring and forecast products. Monitoring of meteorological, agricultural, and hydrological drought is accomplished using the South Asia Land Data Assimilation System, a platform that supports multiple land surface models and meteorological forcing datasets to characterize uncertainty, and subseasonal to seasonal hydrological forecasts are produced by driving South Asia LDAS with downscaled meteorological fields drawn from an ensemble of global dynamically-based forecast systems. Results are disseminated to end users through a Tethys online visualization platform and custom communications that provide user oriented, easily accessible, timely, and decision-relevant scientific information.

  18. Considering the normative, systemic and procedural dimensions in indicator-based sustainability assessments in agriculture

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Binder, Claudia R., E-mail: claudia.binder@geo.uzh.c; Institute for System Science, Innovation and Sustainability Research, University of Graz; Feola, Giuseppe

    This paper develops a framework for evaluating sustainability assessment methods by separately analyzing their normative, systemic and procedural dimensions as suggested by Wiek and Binder [Wiek, A, Binder, C. Solution spaces for decision-making - a sustainability assessment tool for city-regions. Environ Impact Asses Rev 2005, 25: 589-608.]. The framework is then used to characterize indicator-based sustainability assessment methods in agriculture. For a long time, sustainability assessment in agriculture has focused mostly on environmental and technical issues, thus neglecting the economic and, above all, the social aspects of sustainability, the multi-functionality of agriculture and the applicability of the results. In responsemore » to these shortcomings, several integrative sustainability assessment methods have been developed for the agricultural sector. This paper reviews seven of these that represent the diversity of tools developed in this area. The reviewed assessment methods can be categorized into three types: (i) top-down farm assessment methods; (ii) top-down regional assessment methods with some stakeholder participation; (iii) bottom-up, integrated participatory or transdisciplinary methods with stakeholder participation throughout the process. The results readily show the trade-offs encountered when selecting an assessment method. A clear, standardized, top-down procedure allows for potentially benchmarking and comparing results across regions and sites. However, this comes at the cost of system specificity. As the top-down methods often have low stakeholder involvement, the application and implementation of the results might be difficult. Our analysis suggests that to include the aspects mentioned above in agricultural sustainability assessment, the bottom-up, integrated participatory or transdisciplinary methods are the most suitable ones.« less

  19. ASSESSMENT FOR FUTURE ENVIRONMENTAL PROBLEMS - AGRICULTURAL RESIDUES

    EPA Science Inventory

    This assessment was undertaken to determine whether agricultural burning constitutes an environmental problem in the United States. Preliminary indications are that agricultural burning is not likely to become a national problem. The report summarizes available information on loc...

  20. Information Systems Plan.

    ERIC Educational Resources Information Center

    Tulsa Public Schools, OK.

    A task force sought to determine the information needs of the Tulsa Public Schools (Oklahoma) by studying goals of the school district, identifying all processes necessary for operation of the school system, and conducting interviews with 48 key members. A detailed information systems matrix was constructed to show the interrelationships between…

  1. Using Perceived Differences in Views of Agricultural Water Use to Inform Practice

    ERIC Educational Resources Information Center

    Lamm, Alexa J.; Taylor, Melissa R.; Lamm, Kevan W.

    2016-01-01

    Water use has become increasingly contentious as the population grows and water resources become scarcer. Recent media coverage of agricultural water use has brought negative attention potentially influencing public and decision makers' attitudes towards agriculture. Negative perceptions could result in uninformed decisions being made that impact…

  2. Climate-smart agriculture for food security

    NASA Astrophysics Data System (ADS)

    Lipper, Leslie; Thornton, Philip; Campbell, Bruce M.; Baedeker, Tobias; Braimoh, Ademola; Bwalya, Martin; Caron, Patrick; Cattaneo, Andrea; Garrity, Dennis; Henry, Kevin; Hottle, Ryan; Jackson, Louise; Jarvis, Andrew; Kossam, Fred; Mann, Wendy; McCarthy, Nancy; Meybeck, Alexandre; Neufeldt, Henry; Remington, Tom; Sen, Pham Thi; Sessa, Reuben; Shula, Reynolds; Tibu, Austin; Torquebiau, Emmanuel F.

    2014-12-01

    Climate-smart agriculture (CSA) is an approach for transforming and reorienting agricultural systems to support food security under the new realities of climate change. Widespread changes in rainfall and temperature patterns threaten agricultural production and increase the vulnerability of people dependent on agriculture for their livelihoods, which includes most of the world's poor. Climate change disrupts food markets, posing population-wide risks to food supply. Threats can be reduced by increasing the adaptive capacity of farmers as well as increasing resilience and resource use efficiency in agricultural production systems. CSA promotes coordinated actions by farmers, researchers, private sector, civil society and policymakers towards climate-resilient pathways through four main action areas: (1) building evidence; (2) increasing local institutional effectiveness; (3) fostering coherence between climate and agricultural policies; and (4) linking climate and agricultural financing. CSA differs from 'business-as-usual' approaches by emphasizing the capacity to implement flexible, context-specific solutions, supported by innovative policy and financing actions.

  3. UTILIZATION OF GEOGRAPHIC INFORMATION SYSTEMS TECHNOLOGY IN THE ASSESSMENT OF REGIONAL GROUND-WATER QUALITY.

    USGS Publications Warehouse

    Nebert, Douglas; Anderson, Dean

    1987-01-01

    The U. S. Geological Survey (USGS) in cooperation with the U. S. Environmental Protection Agency Office of Pesticide Programs and several State agencies in Oregon has prepared a digital spatial database at 1:500,000 scale to be used as a basis for evaluating the potential for ground-water contamination by pesticides and other agricultural chemicals. Geographic information system (GIS) software was used to assemble, analyze, and manage spatial and tabular environmental data in support of this project. Physical processes were interpreted relative to published spatial data and an integrated database to support the appraisal of regional ground-water contamination was constructed. Ground-water sampling results were reviewed relative to the environmental factors present in several agricultural areas to develop an empirical knowledge base which could be used to assist in the selection of future sampling or study areas.

  4. Sustainable management of agriculture activity on areas with soil vulnerability to compaction trough a developed decision support system (DSS)

    NASA Astrophysics Data System (ADS)

    Moretto, Johnny; Fantinato, Luciano; Rasera, Roberto

    2017-04-01

    One of the main environmental effects of agriculture is the negative impacts on areas with soil vulnerability to compaction and undersurface water derived from inputs and treatment distributions. A solution may represented from the "Precision Farming". Precision Farming refers to a management concept focusing on (near-real time) observation, measurement and responses to inter- and intra-variability in crops, fields and animals. Potential benefits may include increasing crop yields and animal performance, cost and labour reduction and optimisation of process inputs, all of which would increase profitability. At the same time, Precision Farming should increase work safety and reduce the environmental impacts of agriculture and farming practices, thus contributing to the sustainability of agricultural production. The concept has been made possible by the rapid development of ICT-based sensor technologies and procedures along with dedicated software that, in the case of arable farming, provides the link between spatially-distributed variables and appropriate farming practices such as tillage, seeding, fertilisation, herbicide and pesticide application, and harvesting. Much progress has been made in terms of technical solutions, but major steps are still required for the introduction of this approach over the common agricultural practices. There are currently a large number of sensors capable of collecting data for various applications (e.g. Index of vegetation vigor, soil moisture, Digital Elevation Models, meteorology, etc.). The resulting large volumes of data need to be standardised, processed and integrated using metadata analysis of spatial information, to generate useful input for decision-support systems. In this context, a user-friendly IT applications has been developed, for organizing and processing large volumes of data from different types of remote sensing and meteorological sensors, and for integrating these data into user-friendly farm management support

  5. Evaluation of the nitrate content in leaf vegetables produced through different agricultural systems.

    PubMed

    Guadagnin, S G; Rath, S; Reyes, F G R

    2005-12-01

    The nitrate content of leafy vegetables (watercress, lettuce and arugula) produced by different agricultural systems (conventional, organic and hydroponic) was determined. The daily nitrate intake from the consumption of these crop species by the average Brazilian consumer was also estimated. Sampling was carried out between June 2001 to February 2003 in Campinas, São Paulo State, Brazil. Nitrate was extracted from the samples using the procedure recommended by the AOAC. Flow injection analysis with spectrophotometric detection at 460 nm was used for nitrate determination through the ternary complex FeSCNNO+. For lettuce and arugula, the average nitrate content varied (p < 0.05) between the three agricultural systems with the nitrate level in the crops produced by the organic system being lower than in the conventional system that, in turn, was lower than in the hydroponic system. For watercress, no difference (p < 0.05) was found between the organic and hydroponic samples, both having higher nitrate contents (p < 0.05) than conventionally cultivated samples. The nitrate content for each crop species varied among producers, between different parts of the plant and in relation to the season. The estimated daily nitrate intake, calculated from the consumption of the crops produced by the hydroponic system, represented 29% of the acceptable daily intake established for this ion.

  6. An AgMIP framework for improved agricultural representation in integrated assessment models

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Ruane, Alex C.; Rosenzweig, Cynthia; Asseng, Senthold

    Integrated assessment models (IAMs) hold great potential to assess how future agricultural systems will be shaped by socioeconomic development, technological innovation, and changing climate conditions. By coupling with climate and crop model emulators, IAMs have the potential to resolve important agricultural feedback loops and identify unintended consequences of socioeconomic development for agricultural systems. Here we propose a framework to develop robust representation of agricultural system responses within IAMs, linking downstream applications with model development and the coordinated evaluation of key climate responses from local to global scales. We survey the strengths and weaknesses of protocol-based assessments linked to the Agriculturalmore » Model Intercomparison and Improvement Project (AgMIP), each utilizing multiple sites and models to evaluate crop response to core climate changes including shifts in carbon dioxide concentration, temperature, and water availability, with some studies further exploring how climate responses are affected by nitrogen levels and adaptation in farm systems. Site-based studies with carefully calibrated models encompass the largest number of activities; however they are limited in their ability to capture the full range of global agricultural system diversity. Representative site networks provide more targeted response information than broadly-sampled networks, with limitations stemming from difficulties in covering the diversity of farming systems. Global gridded crop models provide comprehensive coverage, although with large challenges for calibration and quality control of inputs. Diversity in climate responses underscores that crop model emulators must distinguish between regions and farming system while recognizing model uncertainty. Finally, to bridge the gap between bottom-up and top-down approaches we recommend the deployment of a hybrid climate response system employing a representative network of sites to

  7. Evaluating strategies for sustainable intensification of US agriculture through the Long-Term Agroecosystem Research network

    NASA Astrophysics Data System (ADS)

    Spiegal, S.; Bestelmeyer, B. T.; Archer, D. W.; Augustine, D. J.; Boughton, E. H.; Boughton, R. K.; Cavigelli, M. A.; Clark, P. E.; Derner, J. D.; Duncan, E. W.; Hapeman, C. J.; Harmel, R. D.; Heilman, P.; Holly, M. A.; Huggins, D. R.; King, K.; Kleinman, P. J. A.; Liebig, M. A.; Locke, M. A.; McCarty, G. W.; Millar, N.; Mirsky, S. B.; Moorman, T. B.; Pierson, F. B.; Rigby, J. R.; Robertson, G. P.; Steiner, J. L.; Strickland, T. C.; Swain, H. M.; Wienhold, B. J.; Wulfhorst, J. D.; Yost, M. A.; Walthall, C. L.

    2018-03-01

    Sustainable intensification is an emerging model for agriculture designed to reconcile accelerating global demand for agricultural products with long-term environmental stewardship. Defined here as increasing agricultural production while maintaining or improving environmental quality, sustainable intensification hinges upon decision-making by agricultural producers, consumers, and policy-makers. The Long-Term Agroecosystem Research (LTAR) network was established to inform these decisions. Here we introduce the LTAR Common Experiment, through which scientists and partnering producers in US croplands, rangelands, and pasturelands are conducting 21 independent but coordinated experiments. Each local effort compares the outcomes of a predominant, conventional production system in the region (‘business as usual’) with a system hypothesized to advance sustainable intensification (‘aspirational’). Following the logic of a conceptual model of interactions between agriculture, economics, society, and the environment, we identified commonalities among the 21 experiments in terms of (a) concerns about business-as-usual production, (b) ‘aspirational outcomes’ motivating research into alternatives, (c) strategies for achieving the outcomes, (d) practices that support the strategies, and (e) relationships between practice outreach and adoption. Network-wide, concerns about business as usual include the costs of inputs, opportunities lost to uniform management approaches, and vulnerability to accelerating environmental changes. Motivated by environmental, economic, and societal outcomes, scientists and partnering producers are investigating 15 practices in aspirational treatments to sustainably intensify agriculture, from crop diversification to ecological restoration. Collectively, the aspirational treatments reveal four general strategies for sustainable intensification: (1) reducing reliance on inputs through ecological intensification, (2) diversifying management

  8. 7 CFR 1220.230 - Promotion, research, consumer information, and industry information.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... industry information. 1220.230 Section 1220.230 Agriculture Regulations of the Department of Agriculture... Research Order Expenses and Assessments § 1220.230 Promotion, research, consumer information, and industry..., research, consumer information, and industry information activities with respect to soybean and soybean...

  9. 7 CFR 1220.230 - Promotion, research, consumer information, and industry information.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... industry information. 1220.230 Section 1220.230 Agriculture Regulations of the Department of Agriculture... Research Order Expenses and Assessments § 1220.230 Promotion, research, consumer information, and industry..., research, consumer information, and industry information activities with respect to soybean and soybean...

  10. 7 CFR 1220.230 - Promotion, research, consumer information, and industry information.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... industry information. 1220.230 Section 1220.230 Agriculture Regulations of the Department of Agriculture... Research Order Expenses and Assessments § 1220.230 Promotion, research, consumer information, and industry..., research, consumer information, and industry information activities with respect to soybean and soybean...

  11. 7 CFR 1220.230 - Promotion, research, consumer information, and industry information.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... industry information. 1220.230 Section 1220.230 Agriculture Regulations of the Department of Agriculture... Research Order Expenses and Assessments § 1220.230 Promotion, research, consumer information, and industry..., research, consumer information, and industry information activities with respect to soybean and soybean...

  12. Moving GIS Research Indoors: Spatiotemporal Analysis of Agricultural Animals

    PubMed Central

    Daigle, Courtney L.; Banerjee, Debasmit; Montgomery, Robert A.; Biswas, Subir; Siegford, Janice M.

    2014-01-01

    A proof of concept applying wildlife ecology techniques to animal welfare science in intensive agricultural environments was conducted using non-cage laying hens. Studies of wildlife ecology regularly use Geographic Information Systems (GIS) to assess wild animal movement and behavior within environments with relatively unlimited space and finite resources. However, rather than depicting landscapes, a GIS could be developed in animal production environments to provide insight into animal behavior as an indicator of animal welfare. We developed a GIS-based approach for studying agricultural animal behavior in an environment with finite space and unlimited resources. Concurrent data from wireless body-worn location tracking sensor and video-recording systems, which depicted spatially-explicit behavior of hens (135 hens/room) in two identical indoor enclosures, were collected. The spatial configuration of specific hen behaviors, variation in home range patterns, and variation in home range overlap show that individual hens respond to the same environment differently. Such information could catalyze management practice adjustments (e.g., modifying feeder design and/or location). Genetically-similar hens exhibited diverse behavioral and spatial patterns via a proof of concept approach enabling detailed examinations of individual non-cage laying hen behavior and welfare. PMID:25098421

  13. Analgzing long-term changes in vegetation with geographic information system and remotely sensed data

    NASA Astrophysics Data System (ADS)

    Iverson, Louis R.; Risser, Paul G.

    Geographic information systems and remote sensing techniques are powerful tools in the analysis of long-term changes in vegetation and land use, especially because spatial information from two or more time intervals can be compared more readily than by manual methods. A primary restriction is the paucity of data that has been digitized from earlier periods. The Illinois State Geographic Information System has a number of automated data sets containing land-use information, including original land survey plat maps that show the boundaries of forests, prairies, and wetlands as they existed prior to European colonization in the early 1800s. More recent data include the United States Forest Service inventories of 1948, 1962, and 1985; the United States Geological Survey Land Use Data Analysis; National High Altitude Program photographs of vegetation; and Landsat MSS and TM information. These data can be used to compare vegetation patterns and changes in land use over time and to suggest factors that may have caused or influenced these variations. Profound changes have occurred in the Illinois landscape since European settlement, primarily because of conversion to agricultural use; in certain parts of the state, however, urbanization has been the major factor contributing to changes.

  14. 7 CFR 6.9 - Information.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... 7 Agriculture 1 2013-01-01 2013-01-01 false Information. 6.9 Section 6.9 Agriculture Office of the Secretary of Agriculture IMPORT QUOTAS AND FEES General Provisions § 6.9 Information. Persons desiring information from the Department of Agriculture regarding section 22 or section 8(a), or any action with...

  15. 7 CFR 6.9 - Information.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... 7 Agriculture 1 2012-01-01 2012-01-01 false Information. 6.9 Section 6.9 Agriculture Office of the Secretary of Agriculture IMPORT QUOTAS AND FEES General Provisions § 6.9 Information. Persons desiring information from the Department of Agriculture regarding section 22 or section 8(a), or any action with...

  16. 7 CFR 6.9 - Information.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 7 Agriculture 1 2011-01-01 2011-01-01 false Information. 6.9 Section 6.9 Agriculture Office of the Secretary of Agriculture IMPORT QUOTAS AND FEES General Provisions § 6.9 Information. Persons desiring information from the Department of Agriculture regarding section 22 or section 8(a), or any action with...

  17. 7 CFR 6.9 - Information.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... 7 Agriculture 1 2014-01-01 2014-01-01 false Information. 6.9 Section 6.9 Agriculture Office of the Secretary of Agriculture IMPORT QUOTAS AND FEES General Provisions § 6.9 Information. Persons desiring information from the Department of Agriculture regarding section 22 or section 8(a), or any action with...

  18. 7 CFR 6.9 - Information.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 7 Agriculture 1 2010-01-01 2010-01-01 false Information. 6.9 Section 6.9 Agriculture Office of the Secretary of Agriculture IMPORT QUOTAS AND FEES General Provisions § 6.9 Information. Persons desiring information from the Department of Agriculture regarding section 22 or section 8(a), or any action with...

  19. Summary of the 2017 South Southeast Research Initiative (SARI) Agricultural Workshop

    NASA Technical Reports Server (NTRS)

    Vadrevu, Krishna Prasad; Justice, Chris

    2017-01-01

    South/Southeast Asian countries are growing rapidly in terms of population, industrialization, andurbanization. As a result of this growth, one of the key policy challenges facing the region is foodsecurity—that is, those conditions “…when all people, at all times, have physical and economic access tosufficient, safe and nutritious food that meets their dietary needs and food preferences for an active andhealthy life”.1 Although total food production has increased in the region since 1960 due to land areahaving been converted to agricultural use, more recently it has decreased, mostly due to loss ofproductive agricultural land due to urbanization and industrial development. Furthermore, the region isexperiencing variability in the timing of the monsoon and extreme weather events, resulting in droughtor flooding, which impact agricultural production. Monitoring crop production in a timely manner isessential to predict and prepare for disruptions in the food supply. To achieve such timely monitoringrequires improved and up-to-date information on agricultural land-use practices.Although there has been significant progress in remote sensing and geospatial technologies over thepast few decades, there has been little emphasis placed on developing robust methods for operationalmapping and monitoring of areas devoted to crops. In South/Southeast Asia generally, most mappingefforts to date have focused on the broader classification of land cover types and generalized croplandareas into a single or limited number of thematic classes. Only a few countries have access to up-todatecrop type information. There is an urgent need to make this near-real-time information morereadily available to stakeholders and to enhance national and regional operational systems formonitoring agricultural crops..

  20. Training for Agriculture: Annual Review of Selected Developments.

    ERIC Educational Resources Information Center

    United Nations Food and Agriculture Organization, Rome (Italy).

    This review is a medium for dissemination of information and views on agricultural education and training, extension, and related subjects to the member governments and field workers of the Food and Agriculture Organization of the United Nations. The document consists of more than two dozen articles and comments on agricultural education,…

  1. Hypothesis-confirming information search strategies and computerized information-retrieval systems

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Jacobs, S.M.

    A recent trend in information-retrieval systems technology is the development of on-line information retrieval systems. One objective of these systems has been to attempt to enhance decision effectiveness by allowing users to preferentially seek information, thereby facilitating the reduction or elimination of information overload. These systems do not necessarily lead to more-effective decision making, however. Recent research in information-search strategy suggests that when users are seeking information subsequent to forming initial beliefs, they may preferentially seek information to confirm these beliefs. It seems that effective computer-based decision support requires an information retrieval system capable of: (a) retrieving a subset ofmore » all available information, in order to reduce information overload, and (b) supporting an information search strategy that considers all relevant information, rather than merely hypothesis-confirming information. An information retrieval system with an expert component (i.e., a knowledge-based DSS) should be able to provide these capabilities. Results of this study are non conclusive; there was neither strong confirmatory evidence nor strong disconfirmatory evidence regarding the effectiveness of the KBDSS.« less

  2. Groundwater economics: An object-oriented foundation for integrated studies of irrigated agricultural systems

    USDA-ARS?s Scientific Manuscript database

    An integrated foundation is presented to study the impacts of external forcings on irrigated agricultural systems. Individually, models are presented that simulate groundwater hydrogeology and econometric farm level crop choices and irrigated water use. The natural association between groundwater we...

  3. Designing and Testing a UAV Mapping System for Agricultural Field Surveying

    PubMed Central

    Skovsen, Søren

    2017-01-01

    A Light Detection and Ranging (LiDAR) sensor mounted on an Unmanned Aerial Vehicle (UAV) can map the overflown environment in point clouds. Mapped canopy heights allow for the estimation of crop biomass in agriculture. The work presented in this paper contributes to sensory UAV setup design for mapping and textual analysis of agricultural fields. LiDAR data are combined with data from Global Navigation Satellite System (GNSS) and Inertial Measurement Unit (IMU) sensors to conduct environment mapping for point clouds. The proposed method facilitates LiDAR recordings in an experimental winter wheat field. Crop height estimates ranging from 0.35–0.58 m are correlated to the applied nitrogen treatments of 0–300 kgNha. The LiDAR point clouds are recorded, mapped, and analysed using the functionalities of the Robot Operating System (ROS) and the Point Cloud Library (PCL). Crop volume estimation is based on a voxel grid with a spatial resolution of 0.04 × 0.04 × 0.001 m. Two different flight patterns are evaluated at an altitude of 6 m to determine the impacts of the mapped LiDAR measurements on crop volume estimations. PMID:29168783

  4. Designing and Testing a UAV Mapping System for Agricultural Field Surveying.

    PubMed

    Christiansen, Martin Peter; Laursen, Morten Stigaard; Jørgensen, Rasmus Nyholm; Skovsen, Søren; Gislum, René

    2017-11-23

    A Light Detection and Ranging (LiDAR) sensor mounted on an Unmanned Aerial Vehicle (UAV) can map the overflown environment in point clouds. Mapped canopy heights allow for the estimation of crop biomass in agriculture. The work presented in this paper contributes to sensory UAV setup design for mapping and textual analysis of agricultural fields. LiDAR data are combined with data from Global Navigation Satellite System (GNSS) and Inertial Measurement Unit (IMU) sensors to conduct environment mapping for point clouds. The proposed method facilitates LiDAR recordings in an experimental winter wheat field. Crop height estimates ranging from 0.35-0.58 m are correlated to the applied nitrogen treatments of 0-300 kg N ha . The LiDAR point clouds are recorded, mapped, and analysed using the functionalities of the Robot Operating System (ROS) and the Point Cloud Library (PCL). Crop volume estimation is based on a voxel grid with a spatial resolution of 0.04 × 0.04 × 0.001 m. Two different flight patterns are evaluated at an altitude of 6 m to determine the impacts of the mapped LiDAR measurements on crop volume estimations.

  5. A Decision Support System for Optimum Use of Fertilizers

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    R. L. Hoskinson; J. R. Hess; R. K. Fink

    1999-07-01

    The Decision Support System for Agriculture (DSS4Ag) is an expert system being developed by the Site-Specific Technologies for Agriculture (SST4Ag) precision farming research project at the INEEL. DSS4Ag uses state-of-the-art artificial intelligence and computer science technologies to make spatially variable, site-specific, economically optimum decisions on fertilizer use. The DSS4Ag has an open architecture that allows for external input and addition of new requirements and integrates its results with existing agricultural systems' infrastructures. The DSS4Ag reflects a paradigm shift in the information revolution in agriculture that is precision farming. We depict this information revolution in agriculture as an historic trend inmore » the agricultural decision-making process.« less

  6. Towards an open grapevine information system

    PubMed Central

    Adam-Blondon, A-F; Alaux, M; Pommier, C; Cantu, D; Cheng, Z-M; Cramer, GR; Davies, C; Delrot, S; Deluc, L; Di Gaspero, G; Grimplet, J; Fennell, A; Londo, JP; Kersey, P; Mattivi, F; Naithani, S; Neveu, P; Nikolski, M; Pezzotti, M; Reisch, BI; Töpfer, R; Vivier, MA; Ware, D; Quesneville, H

    2016-01-01

    Viticulture, like other fields of agriculture, is currently facing important challenges that will be addressed only through sustained, dedicated and coordinated research. Although the methods used in biology have evolved tremendously in recent years and now involve the routine production of large data sets of varied nature, in many domains of study, including grapevine research, there is a need to improve the findability, accessibility, interoperability and reusability (FAIR-ness) of these data. Considering the heterogeneous nature of the data produced, the transnational nature of the scientific community and the experience gained elsewhere, we have formed an open working group, in the framework of the International Grapevine Genome Program (www.vitaceae.org), to construct a coordinated federation of information systems holding grapevine data distributed around the world, providing an integrated set of interfaces supporting advanced data modeling, rich semantic integration and the next generation of data mining tools. To achieve this goal, it will be critical to develop, implement and adopt appropriate standards for data annotation and formatting. The development of this system, the GrapeIS, linking genotypes to phenotypes, and scientific research to agronomical and oeneological data, should provide new insights into grape biology, and allow the development of new varieties to meet the challenges of biotic and abiotic stress, environmental change, and consumer demand. PMID:27917288

  7. Prime agricultural land monitoring and assessment component of the California Integrated Remote Sensing System

    NASA Technical Reports Server (NTRS)

    Estes, J. E.; Tinney, L. R. (Principal Investigator); Streich, T.

    1981-01-01

    The use of digital LANDSAT techniques for monitoring agricultural land use conversions was studied. Two study areas were investigated: one in Ventura County and the other in Fresno County (California). Ventura test site investigations included the use of three dates of LANDSAT data to improve classification performance beyond that previously obtained using single data techniques. The 9% improvement is considered highly significant. Also developed and demonstrated using Ventura County data is an automated cluster labeling procedure, considered a useful example of vertical data integration. Fresno County results for a single data LANDSAT classification paralleled those found in Ventura, demonstrating that the urban/rural fringe zone of most interest is a difficult environment to classify using LANDSAT data. A general raster to vector conversion program was developed to allow LANDSAT classification products to be transferred to an operational county level geographic information system in Fresno.

  8. Mission Medical Information System

    NASA Technical Reports Server (NTRS)

    Johnson-Throop, Kathy A.; Joe, John C.; Follansbee, Nicole M.

    2008-01-01

    This viewgraph presentation gives an overview of the Mission Medical Information System (MMIS). The topics include: 1) What is MMIS?; 2) MMIS Goals; 3) Terrestrial Health Information Technology Vision; 4) NASA Health Information Technology Needs; 5) Mission Medical Information System Components; 6) Electronic Medical Record; 7) Longitudinal Study of Astronaut Health (LSAH); 8) Methods; and 9) Data Submission Agreement (example).

  9. Agriculture: Nurseries and Greenhouses

    EPA Pesticide Factsheets

    Nurseries and Greenhouses. Information about environmental requirements specifically relating to the production of many types of agricultural crops grown in nurseries and greenhouses, such as ornamental plants and specialty fruits and vegetables.

  10. Structural Conditions for Collaboration and Learning in Innovation Networks: Using an Innovation System Performance Lens to Analyse Agricultural Knowledge Systems

    ERIC Educational Resources Information Center

    Hermans, Frans; Klerkx, Laurens; Roep, Dirk

    2015-01-01

    Purpose: We investigate how the structural conditions of eight different European agricultural innovation systems can facilitate or hinder collaboration and social learning in multidisciplinary innovation networks. Methodology: We have adapted the Innovation System Failure Matrix to investigate the main barriers and enablers eight countries…

  11. 7 CFR 28.960 - Confidential information.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 7 Agriculture 2 2010-01-01 2010-01-01 false Confidential information. 28.960 Section 28.960 Agriculture Regulations of the Department of Agriculture AGRICULTURAL MARKETING SERVICE (Standards... Tests § 28.960 Confidential information. No information concerning individual tests under the...

  12. Dynamic Agricultural Land Unit Profile Database Generation using Landsat Time Series Images

    NASA Astrophysics Data System (ADS)

    Torres-Rua, A. F.; McKee, M.

    2012-12-01

    Agriculture requires continuous supply of inputs to production, while providing final or intermediate outputs or products (food, forage, industrial uses, etc.). Government and other economic agents are interested in the continuity of this process and make decisions based on the available information about current conditions within the agriculture area. From a government point of view, it is important that the input-output chain in agriculture for a given area be enhanced in time, while any possible abrupt disruption be minimized or be constrained within the variation tolerance of the input-output chain. The stability of the exchange of inputs and outputs becomes of even more important in disaster-affected zones, where government programs will look for restoring the area to equal or enhanced social and economical conditions before the occurrence of the disaster. From an economical perspective, potential and existing input providers require up-to-date, precise information of the agriculture area to determine present and future inputs and stock amounts. From another side, agriculture output acquirers might want to apply their own criteria to sort out present and future providers (farmers or irrigators) based on the management done during the irrigation season. In the last 20 years geospatial information has become available for large areas in the globe, providing accurate, unbiased historical records of actual agriculture conditions at individual land units for small and large agricultural areas. This data, adequately processed and stored in any database format, can provide invaluable information for government and economic interests. Despite the availability of the geospatial imagery records, limited or no geospatial-based information about past and current farming conditions at the level of individual land units exists for many agricultural areas in the world. The absence of this information challenges the work of policy makers to evaluate previous or current

  13. The use of geographic information system and 1860s cadastral data to model agricultural suitability before heavy mechanization. A case study from Malta.

    PubMed

    Alberti, Gianmarco; Grima, Reuben; Vella, Nicholas C

    2018-01-01

    The present study seeks to understand the determinants of land agricultural suitability in Malta before heavy mechanization. A GIS-based Logistic Regression model is built on the basis of the data from mid-1800s cadastral maps (cabreo). This is the first time that such data are being used for the purpose of building a predictive model. The maps record the agricultural quality of parcels (ranging from good to lowest), which is represented by different colours. The study treats the agricultural quality as a depended variable with two levels: optimal (corresponding to the good class) vs. non-optimal quality (mediocre, bad, low, and lowest classes). Seventeen predictors are isolated on the basis of literature review and data availability. Logistic Regression is used to isolate the predictors that can be considered determinants of the agricultural quality. Our model has an optimal discriminatory power (AUC: 0.92). The positive effect on land agricultural quality of the following predictors is considered and discussed: sine of the aspect (odds ratio 1.42), coast distance (2.46), Brown Rendzinas (2.31), Carbonate Raw (2.62) and Xerorendzinas (9.23) soils, distance to minor roads (4.88). Predictors resulting having a negative effect are: terrain elevation (0.96), slope (0.97), distance to the nearest geological fault lines (0.09), Terra Rossa soil (0.46), distance to secondary roads (0.19) and footpaths (0.41). The model isolates a host of topographic and cultural variables, the latter related to human mobility and landscape accessibility, which differentially contributed to the agricultural suitability, providing the bases for the creation of the fragmented and extremely variegated agricultural landscape that is the hallmark of the Maltese Islands. Our findings are also useful to suggest new questions that may be posed to the more meagre evidence from earlier periods.

  14. The use of geographic information system and 1860s cadastral data to model agricultural suitability before heavy mechanization. A case study from Malta

    PubMed Central

    Grima, Reuben; Vella, Nicholas C.

    2018-01-01

    The present study seeks to understand the determinants of land agricultural suitability in Malta before heavy mechanization. A GIS-based Logistic Regression model is built on the basis of the data from mid-1800s cadastral maps (cabreo). This is the first time that such data are being used for the purpose of building a predictive model. The maps record the agricultural quality of parcels (ranging from good to lowest), which is represented by different colours. The study treats the agricultural quality as a depended variable with two levels: optimal (corresponding to the good class) vs. non-optimal quality (mediocre, bad, low, and lowest classes). Seventeen predictors are isolated on the basis of literature review and data availability. Logistic Regression is used to isolate the predictors that can be considered determinants of the agricultural quality. Our model has an optimal discriminatory power (AUC: 0.92). The positive effect on land agricultural quality of the following predictors is considered and discussed: sine of the aspect (odds ratio 1.42), coast distance (2.46), Brown Rendzinas (2.31), Carbonate Raw (2.62) and Xerorendzinas (9.23) soils, distance to minor roads (4.88). Predictors resulting having a negative effect are: terrain elevation (0.96), slope (0.97), distance to the nearest geological fault lines (0.09), Terra Rossa soil (0.46), distance to secondary roads (0.19) and footpaths (0.41). The model isolates a host of topographic and cultural variables, the latter related to human mobility and landscape accessibility, which differentially contributed to the agricultural suitability, providing the bases for the creation of the fragmented and extremely variegated agricultural landscape that is the hallmark of the Maltese Islands. Our findings are also useful to suggest new questions that may be posed to the more meagre evidence from earlier periods. PMID:29415059

  15. Principal component greenness transformation in multitemporal agricultural Landsat data

    NASA Technical Reports Server (NTRS)

    Abotteen, R. A.

    1978-01-01

    A data compression technique for multitemporal Landsat imagery which extracts phenological growth pattern information for agricultural crops is described. The principal component greenness transformation was applied to multitemporal agricultural Landsat data for information retrieval. The transformation was favorable for applications in agricultural Landsat data analysis because of its physical interpretability and its relation to the phenological growth of crops. It was also found that the first and second greenness eigenvector components define a temporal small-grain trajectory and nonsmall-grain trajectory, respectively.

  16. Rural Development: Information and Technical Assistance Delivered by the Department of Agriculture in Fiscal Year 1971. A Report to the Congress.

    ERIC Educational Resources Information Center

    Department of Agriculture, Washington, DC.

    As the first part of a four part report to the U.S. Congress pursuant to Title IX, Section 901 of the Agricultural Act of 1970, this second annual report is limited to rural development activities of the U.S. Department of Agriculture (USDA) delivery system (the USDA National Rural Development Committee, State Rural Development Committee, and…

  17. Strategic Information Systems Planning.

    ERIC Educational Resources Information Center

    Rowley, Jennifer

    1995-01-01

    Strategic Information Systems Planning (SISP) is the process of establishing a program for implementation and use of information systems in ways that will optimize effectiveness of information resources and use them to support the objectives of the organization. Basic steps in SISP methodology are outlined. (JKP)

  18. Management Information Systems Research.

    DTIC Science & Technology

    Research on management information systems is illusive in many respects. Part of the basic research problem in MIS stems from the absence of standard...decision making. But the transition from these results to the realization of ’satisfactory’ management information systems remains difficult indeed. The...paper discusses several aspects of research on management information systems and reviews a selection of efforts that appear significant for future progress. (Author)

  19. Agricultural and Social Resiliency of Small-Scale Agriculture to Economic and Climatic Shocks: A Comparison of Subsistence versus Market-Based Agricultural Approaches in Rural Guatemala

    NASA Astrophysics Data System (ADS)

    Malard, J. J.; Melgar-Quiñonez, H.; Pineda, P.; Gálvez, J.; Adamowski, J. F.

    2014-12-01

    Agricultural production is heavily dependent not only on climate but also on markets as well as on the social and community systems managing the agroecosystem. In addition, the ultimate goal of agricultural production, human food security, is also affected not only by net agricultural production but also by similar economic and social factors. These complex feedbacks assume a particular importance in the case of smallholder farms in the tropics, where alternative rural development policies have led to different and contrasting agricultural management systems. Current approaches at comparing such systems generally study their environmental, economic or social components in isolation, potentially missing important interconnections. This research uses a participatory systems dynamics modelling (SDM) framework to compare two small-scale agricultural approaches in rural Guatemala which differ in their social, economic and ecosystem management decisions. The first case study community, in Quiché, has adopted a subsistence-based system that aims to use low levels of outside inputs to produce food for their own consumption, while the second, in Sololá, has opted for market-based agriculture that uses high input levels to obtain marketable crops in order to assure income for the purchase of food and other necessities. Each of these systems has its respective vulnerabilities; while the Sololá community suffers from more environmental degradation issues (soils and pests), the Quiché community, given lower monetary incomes, is more vulnerable to events whose responses require a significant monetary expenditure. Through the SDM approach, we incorporate local stakeholder knowledge of the respective systems, including biophysical and socioeconomic variables, into a joint biophysical and socioeconomic model for each community. These models then allow for the comparison of the resilience of both types of socio-agroecosystems in the face of climatic, economic and biological

  20. North American networking activities on non-wood forest products by the Food and Agriculture Organization of the United Nations

    Treesearch

    Paul Vantomme

    2001-01-01

    FAO, the Food and Agriculture Organization of the United Nations, is the largest autonomous agency within the United Nations system dealing with agriculture, fisheries, forestry, and related disciplines. FAO provides a neutral forum for policy dialogue, a source of information and knowledge, technical assistance, and advice to 180 member countries. Technical...