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Author: Food and Agriculture Organization of the United Nations Publisher: Food & Agriculture Org. ISBN: 925133837X Category : Technology & Engineering Languages : en Pages : 162
Book Description
This book aims to strengthen the skills of professionals who use, manage data for the benefit of farmers and farmers organizations by exposing them to the topics of importance of data in the agriculture value chain and how new and existing technologies, products and services can leverage farm level and global data to improve yield, reduce loss, add value and increase profitability and resilience.
Author: Food and Agriculture Organization of the United Nations Publisher: Food & Agriculture Org. ISBN: 925133837X Category : Technology & Engineering Languages : en Pages : 162
Book Description
This book aims to strengthen the skills of professionals who use, manage data for the benefit of farmers and farmers organizations by exposing them to the topics of importance of data in the agriculture value chain and how new and existing technologies, products and services can leverage farm level and global data to improve yield, reduce loss, add value and increase profitability and resilience.
Author: Addison, C. Publisher: CTA ISBN: Category : Technology & Engineering Languages : en Pages : 76
Book Description
The study presented in this report was commissioned by the Technical Centre for Agricultural and Rural Cooperation (CTA) as a member of the Global Open Data for Agriculture & Nutrition (GODAN) initiative, and was conducted by SB Consulting (SBC4D). The objective of the research is to understand the role of farmer organisations (FO) and cooperatives in the agriculture data ecosystem. These organisations have long been recognised to play an important role in society that translates into the improvement of living conditions of their members, particularly the low-income earning population. More than 40% of households in Africa are member of a cooperative society ([ILO-2000]) and the cooperative movement is Africa’s biggest nongovernmental organisation. The key question this report explores is the role of these organisations in the emergent “data revolution.” How can they ensure that this data revolution benefits their members and the smallholder farmers in general, and at the same time contribute to the revolution by providing valuable information to policy makers or other stakeholders of the ecosystem?
Author: Thomas Hoeren Publisher: Springer ISBN: 331962461X Category : Law Languages : en Pages : 122
Book Description
This book is open access under a CC BY 4.0 license. This book sheds new light on a selection of big data scenarios from an interdisciplinary perspective. It features legal, sociological and economic approaches to fundamental big data topics such as privacy, data quality and the ECJ’s Safe Harbor decision on the one hand, and practical applications such as smart cars, wearables and web tracking on the other. Addressing the interests of researchers and practitioners alike, it provides a comprehensive overview of and introduction to the emerging challenges regarding big data.All contributions are based on papers submitted in connection with ABIDA (Assessing Big Data), an interdisciplinary research project exploring the societal aspects of big data and funded by the German Federal Ministry of Education and Research.This volume was produced as a part of the ABIDA project (Assessing Big Data, 01IS15016A-F). ABIDA is a four-year collaborative project funded by the Federal Ministry of Education and Research. However the views and opinions expressed in this book reflect only the authors’ point of view and not necessarily those of all members of the ABIDA project or the Federal Ministry of Education and Research.
Author: John A. Dixon Publisher: Food & Agriculture Org. ISBN: 9789251046272 Category : Business & Economics Languages : en Pages : 424
Book Description
A joint FAO and World Bank study which shows how the farming systems approach can be used to identify priorities for the reduction of hunger and poverty in the main farming systems of the six major developing regions of the world.
Author: National Academies of Sciences, Engineering, and Medicine Publisher: National Academies Press ISBN: 030946529X Category : Technology & Engineering Languages : en Pages : 149
Book Description
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.
Author: Qin Zhang Publisher: Springer Nature ISBN: 3031248619 Category : Technology & Engineering Languages : en Pages : 1636
Book Description
Digital agriculture is an emerging concept of modern farming that refers to managing farms using modern Engineering, Information and Communication Technologies (EICT) aiming at increasing the overall efficiency of agricultural production, improving the quantity and quality of products, and optimizing the human labor required and natural resource consumption in operations. This encyclopedia is designed to collect the summaries of knowledge on as many as subjects or aspects relevant to ECIT for digital agriculture, present such knowledge in entries, and arrange them alphabetically by articles titles. Springer Major Reference Works platform offers Live Update capability. Our reference work takes full advantage of this feature, which allows for continuous improvement or revision of published content electronically. The Editorial Board Dr. Irwin R. Donis-Gonzalez, University of California Davis, Dept. Biological and Agricultural Engineering, Davis, USA (Section: Postharvest Technologies) Prof. Paul Heinemann, Pennsylvania State University, Department Head of Agricultural and Biological Engineering, PA, USA (Section: Technologies for Crop Production) Prof. Manoj Karkee, Washington State University, Center for Precision and Automated Agricultural Systems, Washington, USA (Section: Robotics and Automation Technologies) Prof. Minzan Li, China Agricultural University, Beijing, China (Section: Precision Agricultural Technologies) Prof. Dikai Liu, University of Technology Sydney (UTS),Faculty of Engineering & Information Technologies, Broadway NSW, Australia (Section: AI, Information and Communication Technologies) Prof. Tomas Norton, University of Leuven, Dept. of Biosystems, Heverlee Leuven, Belgium (Section: Technologies for Animal and Aquatic Production) Dr. Manuela Zude-Sasse, Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Precision Horticulture, Potsdam, Germany (Section: Engineering and Mechanization Technologies)
Author: Publisher: Intl Food Policy Res Inst ISBN: Category : Political Science Languages : en Pages : 7
Book Description
Self-sovereign identity (SSI) is a digital identity that is fully controlled and owned by the individual it represents. Unlike traditional centralized identity systems, SSI allows individuals to have autonomy over their own identity, what information is shared, with whom, and for what purposes. SSI is a relatively new concept, but we argue it has the potential to revolutionize how we manage identity and privacy in digital ecosystems. To explore the potential of SSI in smallholder farmers' data sharing and management, we partnered with Bluenumber Foundation to develop a data traceability pilot in Mexico for small-scale maize producers to manage their farm management data. This progress report from Bluenumber provides an overview of the project activities in 2022.
Author: Jain, Priti Publisher: IGI Global ISBN: 1799850196 Category : Reference Languages : en Pages : 360
Book Description
Open access publishing can be used as a strategic tool to avail access to information and achieve universal literacy. Open access has gained importance over the past 15 years by making knowledge available to all, without any barrier of affordability or restrictions on using this knowledge to inform and develop. Open access contributes to scientific research excellence, disseminates research results to a wider community, and promotes multi-disciplinary and collaborative research. Issues of sustainable development and open access are major concerns in librarianship and information management, particularly as the international library and information management community is focusing on how to contribute to the Sustainable Development Goals. Open Access Implications for Sustainable Social, Political, and Economic Development is a pivotal reference source that provides an understanding of the concept of open access within the context of social, political, and economic development and deliberates the critical issues and challenges that face the implementation of open access and its impact on the global economy and sustainable development. While highlighting a broad range of topics including digital scholarship, open data, and ethics, this book is ideally designed for librarians, information science professionals, government officials, policymakers, academicians, researchers, and students.
Author: Leisa Armstrong Publisher: ISBN: 9781786763419 Category : Agriculture Languages : en Pages :
Book Description
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.
Author: Food and Agriculture Organization of the United Nations 
Author: Food and Agriculture Organization of the United Nations 
Author: Addison, C.
Author: Thomas Hoeren
Author: 
Author: John A. Dixon
Author: National Academies of Sciences, Engineering, and Medicine
Author: Qin Zhang
Author: 
Author: Jain, Priti
Author: Leisa Armstrong