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Agricultural Decision Making: Anthropological Contributions to Rural Development presents the impact of farmers' choices in agricultural production. This book discusses how individual decisions determine household profits and well-being, capital requirements, land use, and the adoption of technology. Organized into three parts encompassing 14 chapters, this book begins with an overview of the theoretical and methodological questions concerning the use of formal models in evaluating the alternatives open to farmers. This text then explores the patterns of agricultural choices within one rural community. Other chapters consider the implications of decision-making research for agricultural development policy and explore the decision-making context of aid programs. This book discusses as well the impacts of nonagricultural alternatives on agricultural decisions. The final chapter deals with various policy and development programs for agricultural development. This book is a valuable resource for economic anthropologists, historians, economists, agricultural economists, rural sociologists, psychologists, farmers, and research workers.
This book presents the Multiple Criteria Decision Making (MCDM) paradigm for modelling agricultural decision-making in three parts. The first part, comprising two chapters, is philosophical in nature and deals with the concepts that define the underlying structure of the MCDM paradigm. The second part is the largest part consisting of five chapters, each of which presents the logic of a specific MCDM technique, and demonstrates how it can be used to model a particular decision problem. In the final part, some selected applications of the MCDM techniques to agricultural problems are presented and thus reinforce the development of an understanding of the MCDM paradigm. The book has been designed for use at different levels: as a textbook for final year undergraduate and postgraduate courses in modelling for decision-making; as a manual for researchers and practising modellers; and, as general reference on the application of MCDM techniques. Readers with basic appreciation of algebra and linear programming can easily follow the contents of this book.
Water pollution control has been a top environmental policy priority of the world’s most developed countries for decades, and the focus of significant regulation and public and private spending. Yet, significant water quality problems remain, and trends for some pollutants are in the wrong direction. This book addresses the economics of water pollution control and water pollution control policy in agriculture, with an aim towards providing students, environmental policy analysts, and other environmental professionals with economic concepts and tools essential to understanding the problem and crafting solutions that can be effective and efficient. The book will also examine existing policies and proposed reforms in the developed world. Although this book addresses and has a general applicability to major water pollutants from agriculture (e.g., pesticides, pharmaceuticals, sediments, nutrients), it will focus on the sediment and nutrient pollution problem. The economic and scientific foundations for pollution management are best developed for these pollutants, and they are currently the top priorities of policy makers. Accordingly, the authors provide both highly salient and informative cases for developing concepts and methods of general applicability, with high profile examples such as the Chesapeake Bay, Lake Erie, and the Gulf of Mexico Dead Zone in the US; the Baltic Sea in Northern Europe; and Lake Taupo in New Zealand.
Internet of things (IoT) is a new type of network that combines communication technology, expanded applications, and physical devices. Among them, agriculture is one of the most important areas in the application of the IoT technology, which has its unique requirements and integration features. Compared to the information technology in traditional agriculture, the agricultural IoT mainly refers to industrialized production and sustainable development under relatively controllable conditions. Agricultural IoT applies sensors, RFID, visual capture terminals and other types of sensing devices to detect and collect site information, and with broad applications in field planting, facility horticulture, livestock and poultry breeding, aquaculture and agricultural product logistics. It utilizes multiple information transmission channels such as wireless sensor networks, telecommunications networks and the internet to achieve reliable transmission of agricultural information at multiple scales and intelligently processes the acquired, massive information. The goals are to achieve (i) optimal control of agricultural production process, (ii) intelligent electronic trading of agricultural products circulation, and (iii) management of systematic logistics, quality and safety traceability. This book focuses on three levels of agricultural IoT network: information perception technology, information transmission technology and application technology.
Risk and uncertainty are inescapable factors in agriculture which require careful management. Farmers face production risks from the weather, crop and livestock performance, and pests and diseases, as well as institutional, personal and business risks. This revised third edition of the popular textbook includes updated chapters on theory and methods and contains a new chapter discussing the state-contingent approach to the analysis of production and the use of copulas to better model stochastic dependency. Aiming to introduce agricultural decision making, probability and risk preference, this book is an indispensable guide for students and researchers of agriculture and agribusiness management.
Cover -- Contents -- Preface -- Acknowledgements -- Part one: Multiple criteria in agricultural decisions -- Chapter 1. Main features of the multiple criteria decision-making paradigm -- Criticism of the traditional paradigm for decision-making -- Economic versus technological decisions -- Multiple objectives and goals in agricultural economics -- Historical origins of the MCDM paradigm -- Plan of the book -- Suggestions for further reading -- Chapter 2. Some basic concepts -- Attributes, objectives and goals -- Distinction between goals and constraints -- Pareto optimality -- Trade-offs between decision-making criteria -- A first approximation of the main MCDM approaches -- Suggestions for further reading -- Part two: Multiple criteria decision-making techniques -- Chapter 3. Goal programming -- Introductory example for handling multiple criteria in a farm planning model -- The role of deviational variables in goal programming -- Lexicographic goal programming -- Sensitivity analysis ...