Improving Data Collection And Measurement Of Complex Farms
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Improving Data Collection and Measurement of Complex Farms
Author | : National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Committee on National Statistics,Panel on Improving Data Collection and Reporting about Agriculture with Increasingly Complex Farm Structures |
Publsiher | : National Academies Press |
Total Pages | : 199 |
Release | : 2019-02-21 |
Genre | : Social Science |
ISBN | : 9780309484602 |
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America's farms and farmers are integral to the U.S. economy and, more broadly, to the nation's social and cultural fabric. A healthy agricultural sector helps ensure a safe and reliable food supply, improves energy security, and contributes to employment and economic development, traditionally in small towns and rural areas where farming serves as a nexus for related sectors from farm machinery manufacturing to food processing. The agricultural sector also plays a role in the nation's overall economic growth by providing crucial raw inputs for the production of a wide range of goods and services, including many that generate substantial export value. If the agricultural sector is to be accurately understood and the policies that affect its functioning are to remain well informed, the statistical system's data collection programs must be periodically revisited to ensure they are keeping up with current realities. This report reviews current information and makes recommendations to the U.S. Department of Agriculture's (USDA's) National Agricultural Statistics Service (NASS) and Economic Research Service (ERS) to help identify effective methods for collecting data and reporting information about American agriculture, given increased complexity and other changes in farm business structure in recent decades.
Improving Data Collection and Measurement of Complex Farms
Author | : National Academies of Sciences, Engineering, and Medicine (U.S.). Panel on Improving Data Collection and Reporting about Agriculture with Increasingly Complex Farm Structures |
Publsiher | : Unknown |
Total Pages | : 184 |
Release | : 2019 |
Genre | : Agricultural estimating and reporting |
ISBN | : 0309484618 |
Download Improving Data Collection and Measurement of Complex Farms Book in PDF, Epub and Kindle
"America’s farms and farmers are integral to the U.S. economy and, more broadly, to the nation’s social and cultural fabric. A healthy agricultural sector helps ensure a safe and reliable food supply, improves energy security, and contributes to employment and economic development, traditionally in small towns and rural areas where farming serves as a nexus for related sectors from farm machinery manufacturing to food processing. The agricultural sector also plays a role in the nation’s overall economic growth by providing crucial raw inputs for the production of a wide range of goods and services, including many that generate substantial export value. If the agricultural sector is to be accurately understood and the policies that affect its functioning are to remain well informed, the statistical system’s data collection programs must be periodically revisited to ensure they are keeping up with current realities. This report reviews current information and makes recommendations to the U.S. Department of Agriculture’s (USDA’s) National Agricultural Statistics Service (NASS) and Economic Research Service (ERS) to help identify effective methods for collecting data and reporting information about American agriculture, given increased complexity and other changes in farm business structure in recent decades"--Publisher's description
Improving Data Collection and Measurement of Complex Farms
Author | : National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Committee on National Statistics,Panel on Improving Data Collection and Reporting about Agriculture with Increasingly Complex Farm Structures |
Publsiher | : National Academies Press |
Total Pages | : 199 |
Release | : 2019-01-21 |
Genre | : Social Science |
ISBN | : 9780309484633 |
Download Improving Data Collection and Measurement of Complex Farms Book in PDF, Epub and Kindle
America's farms and farmers are integral to the U.S. economy and, more broadly, to the nation's social and cultural fabric. A healthy agricultural sector helps ensure a safe and reliable food supply, improves energy security, and contributes to employment and economic development, traditionally in small towns and rural areas where farming serves as a nexus for related sectors from farm machinery manufacturing to food processing. The agricultural sector also plays a role in the nation's overall economic growth by providing crucial raw inputs for the production of a wide range of goods and services, including many that generate substantial export value. If the agricultural sector is to be accurately understood and the policies that affect its functioning are to remain well informed, the statistical system's data collection programs must be periodically revisited to ensure they are keeping up with current realities. This report reviews current information and makes recommendations to the U.S. Department of Agriculture's (USDA's) National Agricultural Statistics Service (NASS) and Economic Research Service (ERS) to help identify effective methods for collecting data and reporting information about American agriculture, given increased complexity and other changes in farm business structure in recent decades.
Handbook of Agricultural Economics
Author | : Anonim |
Publsiher | : Elsevier |
Total Pages | : 810 |
Release | : 2021-12-08 |
Genre | : Business & Economics |
ISBN | : 9780323915021 |
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Handbook of Agricultural Economics, Volume Five highlights new advances in the field, with this new release exploring comprehensive chapters written by an international board of authors who discuss topics such as The Economics of Agricultural Innovation, Climate, food and agriculture, Agricultural Labor Markets: Immigration Policy, Minimum Wages, Etc., Risk Management in Agricultural Production, Animal Health and Livestock Disease, Behavioral and Experimental Economics to Inform Agri-Environmental Programs and Policies, Big Data, Machine Learning Methods for Agricultural and Applied Economists, Agricultural data collection to minimize measurement error and maximize coverage, Gender, agriculture and nutrition, Social Networks Analysis In Agricultural Economics, and more. Presents the latest release in the Handbook of Agricultural Economics Written and contributed by leaders in the field Covers topics such as The Economics of Agricultural Innovation, Climate, Food and Agriculture, Agricultural Labor Markets, and more
Improving Crop Estimates by Integrating Multiple Data Sources
Author | : National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Committee on National Statistics,Panel on Methods for Integrating Multiple Data Sources to Improve Crop Estimates |
Publsiher | : National Academies Press |
Total Pages | : 149 |
Release | : 2017-12-26 |
Genre | : Technology & Engineering |
ISBN | : 9780309465328 |
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The National Agricultural Statistics Service (NASS) is the primary statistical data collection agency within the U.S. Department of Agriculture (USDA). NASS conducts hundreds of surveys each year and prepares reports covering virtually every aspect of U.S. agriculture. Among the small-area estimates produced by NASS are county-level estimates for crops (planted acres, harvested acres, production, and yield by commodity) and for cash rental rates for irrigated cropland, nonirrigated cropland, and permanent pastureland. Key users of these county-level estimates include USDA's Farm Services Agency (FSA) and Risk Management Agency (RMA), which use the estimates as part of their processes for distributing farm subsidies and providing farm insurance, respectively. Improving Crop Estimates by Integrating Multiple Data Sources assesses county-level crop and cash rents estimates, and offers recommendations on methods for integrating data sources to provide more precise county-level estimates of acreage and yield for major crops and of cash rents by land use. This report considers technical issues involved in using the available data sources, such as methods for integrating the data, the assumptions underpinning the use of each source, the robustness of the resulting estimates, and the properties of desirable estimates of uncertainty.
Data Collection Use and Improvement for the Farm Sector Economic Indicators
Author | : Kenneth J. Nicol |
Publsiher | : Unknown |
Total Pages | : 82 |
Release | : 1980 |
Genre | : Agriculture |
ISBN | : OCLC:17388762 |
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Smarter Farming New Approaches for Improved Monitoring Measurement and Management of Agricultural Production and Farming Systems
Author | : Matt Bell,Alexis Comber |
Publsiher | : Frontiers Media SA |
Total Pages | : 104 |
Release | : 2020-10-08 |
Genre | : Social Science |
ISBN | : 9782889660551 |
Download Smarter Farming New Approaches for Improved Monitoring Measurement and Management of Agricultural Production and Farming Systems Book in PDF, Epub and Kindle
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Improving Data Management and Decision Support Systems in Agriculture
Author | : Leisa Armstrong |
Publsiher | : Unknown |
Total Pages | : 135 |
Release | : 2020 |
Genre | : Agriculture |
ISBN | : 1786763419 |
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This collection reviews and summarises the wealth of research on key challenges in developing better data management and decision support systems (DSS) for farmers and examples of how those systems are being deployed to optimise efficiency in crop and livestock production. Part 1 reviews general issues underpinning effective decision support systems (DSS) such as data access, standards, tagging and security. Part 2 contains case studies of the practical application of data management and DSS in areas such as crop planting, nutrition and use of rotations, livestock feed and pasture management as well as optimising supply chains for fresh produce. With its distinguished editor and international team of authors, Improving data management and decision support systems in agriculture will be a standard reference for researchers in agriculture and computer science interested in improving data management, modelling and decision support systems in farming, as well as government and other agencies supporting the use of precision farming techniques, and companies supplying decision support services to the farming sector.