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Agriculture is the product of a complex mixture of behavioural, biophysical and market drivers. Understanding how these factors interact to produce crops and livestock for food has been the focus of economic investigation for many years. The advent of optimisation algorithms and the exponential growth in computing technology has allowed significant growth in mathematical modelling of the dynamics of agricultural systems. The complexity of approaches has grown in parallel with the availability of data at increasingly finer resolutions. Farm-level models have been widely used in agricultural economic studies to understand how farmers and land owners respond to market and policy levers. This book provides an in-depth description of different methodologies and techniques currently used in farm-level modelling. While giving an overview of the theoretical grounding behind the models, an applied approach is also used. Case studies range from the application of modelling to policy reforms and the subsequent impacts on rural communities and food supply. This book also provides descriptions of the use of farm-level models in much wider fields such as aggregation and linking with sectoral models. Its purpose is to show the reader the methods that have been employed to inform decision-makers about how to improve the economic, social and environmental goals required to achieve the aims of multidimensional policy.
The primary goal of the study is to investigate the potential to expand oilseeds, specifically soybeans,as an alternative commercialcrop to tobacco among Malawian farmers. A principal motivation for undertaking the study at the microeconomic level is to determine, in a theoretically consistent fashion, the type of policy and economic environment under which farmers begin to shift more of their scarce resources to oilseed production.The study aims to provide recommendations to a growing demand among policy makers and development partners for a greater diversification of exports and crop production systems of the majority smallholder farmers in Malawi. Using representative farm models, the study examinesthe potential for expanding production of soybeans among typical smallholder farming systems in Malawi. The results will help guide future policies and investments targeted at promoting greater crop diversification and incomes, in order to reduce poverty and malnutrition in Malawi. Given the amount of labor and land resources allocated to maize production for food security purposes, we also consider the policy challenges that emerge for crop diversification as a result
This book has the purpose of providing the "state of the arts" concerning bio-economic modelling dealing with agricultural systems. In most cases, the contributions use a methodology combining the use of biophysical and economic models, in all cases, an engineering production function approach is totally or partially applied. This practice is being developed in the last years as a response to concrete policy matters: agricultural policies are increasingly combined with environmental and natural resources policies, and this reality involves the need of an integrated assessment, that current economic models are not able to provide.
This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.
This book emphasis the role of farm level adaptation as a key in developmental pathways that are challenged by climate risks in the semi-arid tropics of Asia and Africa. It throws light on key issues that arise in farm level impacts, adaptation and vulnerability to climate change and discusses Q2 methodological approaches undertaken in study domains of Asia and Africa. The book systematically describes the perceptions, aspirations as elicited/voiced by the farmers and identifies determinants of adaptation decisions. Chapters identify constraints and opportunities that are translated into indicative intervention recommendations towards climate resilient farm households in the semi-arid tropics of Asia and Africa. Furthermore, it discusses with evidences that contributes to the development of livelihood strategy for poor farmers in Asia (Bangladesh, India, Sri Lanka, Thailand, Vietnam and China) and Africa (Burkina Faso, Niger, Kenya and Ghana).
This book addresses major challenges faced by farmers and the technological solutions based on Internet of Things (IoT). A major challenge in agriculture is cultivating and supplying high-quality produce at the best. Currently, around 50% of global farm produce never reaches the end consumer due to wastage and suboptimal prices. The book presents solutions that reduce the transport costs, improve the predictability of prices based on data analytics and the current market conditions, and reduce the number of middle steps and agents between the farmer and the end consumer. It discusses the design of an IoT-based monitoring system to analyze crop environments and a method to improve the efficiency of decision-making by analyzing harvest statistics. Further, it explores climate-smart methods, known as smart agriculture, that have been adopted by a number of Indian farmers.
Types of economic deforestation models. Household and firm-level models. Regional-level models. National and macro-level models. Priority areas for future research.
This book presents an inclusive approach to deal with plant stresses in light of recent technological advances. As we have entered into a new decade, researchers and scientists should review and evaluate the recent findings in the field of plant stress management and visualize what we need to focus upon in the near future to increase crop yield. Above all, global climate changes present the greatest challenges of all time for plant scientists. In this context, the book highlights the recent findings and future perspectives in crop improvement to the faculties, scientists, research scholars, and postgraduate students. Major features of the book include an inclusive approach in understanding the mechanism of stress tolerance; recent advances and innovations in the field of allied disciplines like microbiology, molecular biology, biotechnology, plant breeding, nanobiotechnology, etc., for improving plant stress tolerance; and illustrative sketches to convey the mechanism and strategies of stress alleviation.
The background paper entitled “Addressing the water challenges in the agriculture sector in Near East and North Africa (NENA)” is part of a series of background papers that supported the production of the regional publication "State of Land and Water Resources for Food and Agriculture (SOLAW) in the Near East and North Africa Region". The paper reports on the issues, responses and monitoring progress in relation to supporting the region to maintain local agricultural production with less water.