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Provides a methodological framework for decisions concerning decentralisation of agricultural services through deconcentration of the public administration, delegation to public or private agencies, devolution, partnerships with civil society organisations or privatisation. These forms of decentralisation are presented as options to be considered according to the policy objectives pursued.
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Ecosystem services are the resources and processes supplied by natural ecosystems which benefit humankind (for example, pollination of crops by insects, or water filtration by wetlands). They underpin life on earth, provide major inputs to many economic sectors and support our lifestyles. Agricultural and urban areas are by far the largest users of ecosystems and their services and (for the first time) this book explores the role that ecosystem services play in these managed environments. The book also explores methods of evaluating ecosystem services, and discusses how these services can be maintained and enhanced in our farmlands and cities. This book will be useful to students and researchers from a variety of fields, including applied ecology, environmental economics, agriculture and forestry, and also to local and regional planners and policy makers.
The agricultural sector can benefit immensely from developments in the field of smart farming. However, this research area focuses on providing specific fixes to particular situations and falls short on implementing data-driven frameworks that provide large-scale benefits to the industry as a whole. Using deep learning can bring immense data and improve our understanding of various earth sciences and improve farm services to yield better crop production and profit. Smart Agricultural Services Using Deep Learning, Big Data, and IoT is an essential publication that focuses on the application of deep learning to agriculture. While highlighting a broad range of topics including crop models, cybersecurity, and sustainable agriculture, this book is ideally designed for engineers, programmers, software developers, agriculturalists, farmers, policymakers, researchers, academicians, and students.
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description not available right now.