Handbook of Operations Research in Agriculture and the Agri-Food Industry

Handbook of Operations Research in Agriculture and the Agri-Food Industry

Author: Lluis M. Plà-Aragonés

Publisher: Springer

Published: 2015-04-28

Total Pages: 471

ISBN-13: 1493924834

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The scope of this book is Operations Research methods in Agriculture and a thorough discussion of derived applications in the Agri-food industry. The book summarizes current research and practice in this area and illustrates the development of useful approaches to deal with actual problems arising in the agriculture sector and the agri-food industry. This book is intended to collect in one volume high quality chapters on Methods and Applications in Agriculture and Agri-food industry considering both theoretical issues and application results. Methods applied to problems in agriculture and the agri-food industry include, but are not restricted to, the following themes: Dynamic programming Multi-criteria decision methods Markov decision processes Linear programming Stochastic programming Parameter estimation and knowledge acquisition Learning from data Simulation Descriptive and normative decision tree techniques, including: agent modelling and simulation, and state of the art surveys Each chapter includes some standard and traditional methodology but also some recent research advances. All the applications presented in the chapters have been inspired and motivated by the demands from the agriculture and food production areas.


Operations Management in Agriculture

Operations Management in Agriculture

Author: Dionysis Bochtis

Publisher: Academic Press

Published: 2018-11-20

Total Pages: 242

ISBN-13: 0128097167

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Operations Management in Agriculture bridges the knowledge gap on operations management for agricultural machinery. It complements traditional topics (cost of using and choosing machinery) with advanced engineering approaches recently applied in agricultural machinery management (area coverage planning and sequential scheduling). The book covers new technologies in bio-production systems (robotics, IoT) and environmental compliance by employing a systems engineering perspective with focuses on sub-systems, including advanced optimization, supply chain systems, sustainability, autonomous vehicles and IT-driven decision-making. It will be a valuable resource for students studying decision-making and those working to improve the efficiency, effectiveness and sustainability of production through machinery choice. Covers agricultural machinery management related courses and a number of other courses within the agricultural engineering discipline Provides core tools for machine operations management, including machinery selection and cost of usage Presents current knowledge for agricultural machinery management in a science-based format


Handbook of Operations Research in Natural Resources

Handbook of Operations Research in Natural Resources

Author: Andres Weintraub

Publisher: Springer Science & Business Media

Published: 2007-09-19

Total Pages: 608

ISBN-13: 038771815X

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Here is the first systematic handbook treatment of quantitative modeling natural resource problems, their allocated efficient use, and societal and economic impact. Andrés Weintraub is the very top person in Natural Resource research. He has selected co-editors who are at the top of the sub-fields in natural resources: agriculture, fisheries, forestry, and mining. The book covers these areas with contributions from researchers on, among others, modeling natural research problems, quantifying data, and developing algorithms.


Operational Research in Agriculture and Tourism

Operational Research in Agriculture and Tourism

Author: Evangelia Krassadaki

Publisher: Springer Nature

Published: 2020-05-05

Total Pages: 223

ISBN-13: 3030387666

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This book presents a diverse range of recent operational research techniques that have been applied to agriculture and tourism management. It covers both the primary sector of agriculture and agricultural economics, and the tertiary sector of the tourism industry. Findings and lessons learned from these innovations can be readily applied to various other contexts. The book chiefly focuses on cooperative management issues, and on developing solutions to provide decision support in multi-criteria scenarios.


Statistical Procedures for Agricultural Research

Statistical Procedures for Agricultural Research

Author: Kwanchai A. Gomez

Publisher: John Wiley & Sons

Published: 1984-02-17

Total Pages: 698

ISBN-13: 9780471870920

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Here in one easy-to-understand volume are the statistical procedures and techniques the agricultural researcher needs to know in order to design, implement, analyze, and interpret the results of most experiments with crops. Designed specifically for the non-statistician, this valuable guide focuses on the practical problems of the field researcher. Throughout, it emphasizes the use of statistics as a tool of research—one that will help pinpoint research problems and select remedial measures. Whenever possible, mathematical formulations and statistical jargon are avoided. Originally published by the International Rice Research Institute, this widely respected guide has been totally updated and much expanded in this Second Edition. It now features new chapters on the analysis of multi-observation data and experiments conducted over time and space. Also included is a chapter on experiments in farmers' fields, a subject of major concern in developing countries where agricultural research is commonly conducted outside experiment stations. Statistical Procedures for Agricultural Research, Second Edition will prove equally useful to students and professional researchers in all agricultural and biological disciplines. A wealth of examples of actual experiments help readers to choose the statistical method best suited for their needs, and enable even the most complicated procedures to be easily understood and directly applied. An International Rice Research Institute Book


Robotics and Automation for Improving Agriculture

Robotics and Automation for Improving Agriculture

Author: John Billingsley

Publisher: Burleigh Dodds Series in Agricultural Science

Published: 2019

Total Pages: 0

ISBN-13: 9781786762726

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Robotics has great potential in improving productivity and precision in agriculture. The book reviews advances in technologies such as machine vision and control systems, as well as applications from crop planting, fertilisation, pest and weed management to livestock production.


Publicly Funded Agricultural Research and the Changing Structure of U.S. Agriculture

Publicly Funded Agricultural Research and the Changing Structure of U.S. Agriculture

Author: National Research Council

Publisher: National Academies Press

Published: 2002-03-18

Total Pages: 314

ISBN-13: 0309170346

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The U.S. Department of Agriculture (USDA) requested that the Board on Agriculture and Natural Resources of the National Research Council (NRC) convene a panel of experts to examine whether publicly funded agricultural research has influenced the structure of U.S. agriculture and, if so, how. The Committee to Review the Role of Publicly Funded Agricultural Research on the Structure of U.S. Agriculture was asked to assess the role of public-sector agricultural research on changes in the size and numbers of farms, with particular emphasis on the evolution of very-large-scale operations.


Machine Learning and Artificial Intelligence for Agricultural Economics

Machine Learning and Artificial Intelligence for Agricultural Economics

Author: Chandrasekar Vuppalapati

Publisher: Springer Nature

Published: 2021-10-04

Total Pages: 611

ISBN-13: 3030774856

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This book discusses machine learning and artificial intelligence (AI) for agricultural economics. It is written with a view towards bringing the benefits of advanced analytics and prognostics capabilities to small scale farmers worldwide. This volume provides data science and software engineering teams with the skills and tools to fully utilize economic models to develop the software capabilities necessary for creating lifesaving applications. The book introduces essential agricultural economic concepts from the perspective of full-scale software development with the emphasis on creating niche blue ocean products. Chapters detail several agricultural economic and AI reference architectures with a focus on data integration, algorithm development, regression, prognostics model development and mathematical optimization. Upgrading traditional AI software development paradigms to function in dynamic agricultural and economic markets, this volume will be of great use to researchers and students in agricultural economics, data science, engineering, and machine learning as well as engineers and industry professionals in the public and private sectors.


Precision Agriculture for Grain Production Systems

Precision Agriculture for Grain Production Systems

Author: Brett Whelan

Publisher: CSIRO PUBLISHING

Published: 2013-04-10

Total Pages: 173

ISBN-13: 0643107495

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Precision Agriculture (PA) is an approach to managing the variability in production agriculture in a more economic and environmentally efficient manner. It has been pioneered as a management tool in the grains industry, and while its development and uptake continues to grow amongst grain farmers worldwide, a broad range of other cropping industries have embraced the concept. This book explains general PA theory, identifies and describes essential tools and techniques, and includes practical examples from the grains industry. Readers will gain an understanding of the magnitude, spatial scale and seasonality of measurable variability in soil attributes, plant growth and environmental conditions. They will be introduced to the role of sensing systems in measuring crop, soil and environment variability, and discover how this variability may have a significant impact on crop production systems. Precision Agriculture for Grain Production Systems will empower crop and soil science students, agronomy and agricultural engineering students, as well as agronomic advisors and farmers to critically analyse the impact of observed variation in resources on crop production and management decisions.


Agricultural Supply Chain Management Research

Agricultural Supply Chain Management Research

Author: Onur Boyabatlı

Publisher: Springer Nature

Published: 2021-12-09

Total Pages: 290

ISBN-13: 3030814238

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This book focuses on three essential elements of agricultural supply chains: Planting and Growing, Processing and Selling, and Government Interventions. For decades, most agricultural economists applied macro-economic theory in decisions pertaining to the optimization of food production and distribution. However, few researchers used micro-economic theory to examine how individual farmers respond to market information, incentive pricing mechanisms and different market structures in the trade of agricultural goods. Examining challenges in agricultural supply chain operations through the lens of micro-economic theory is imperative because it can enable policymakers and social enterprises to develop and design market information provision policy, incentive contracts and market structures for improving farmer and consumer welfare. In each chapter, contributing authors motivate their research questions by providing the context and articulating the importance of their questions. They present their analysis to examine the respective research questions and explain their results. At the end of each chapter, they provide a short list of future research questions.