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This book aims to address emerging challenges in the field of
agriculture and natural resource management using the principles
and applications of data science (DS). The book is organized in
three sections, and it has fourteen chapters dealing with
specialized areas. The chapters are written by experts sharing
their experiences very lucidly through case studies, suitable
illustrations and tables. The contents have been designed to fulfil
the needs of geospatial, data science, agricultural, natural
resources and environmental sciences of traditional universities,
agricultural universities, technological universities, research
institutes and academic colleges worldwide. It will help the
planners, policymakers and extension scientists in planning and
sustainable management of agriculture and natural resources. The
authors believe that with its uniqueness the book is one of the
important efforts in the contemporary cyber-physical systems.
This book aims to address emerging challenges in the field of
agriculture and natural resource management using the principles
and applications of data science (DS). The book is organized in
three sections, and it has fourteen chapters dealing with
specialized areas. The chapters are written by experts sharing
their experiences very lucidly through case studies, suitable
illustrations and tables. The contents have been designed to fulfil
the needs of geospatial, data science, agricultural, natural
resources and environmental sciences of traditional universities,
agricultural universities, technological universities, research
institutes and academic colleges worldwide. It will help the
planners, policymakers and extension scientists in planning and
sustainable management of agriculture and natural resources. The
authors believe that with its uniqueness the book is one of the
important efforts in the contemporary cyber-physical systems.
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