Data Science in Agriculture and Natural Resource Management (Paperback, 1st ed. 2022)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Studies in Big Data, 96
Release date:	October 2022
First published:	2022
Editors:	G P Obi Reddy • Mehul S Raval • J. Adinarayana • Sanjay Chaudhary
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	316
Edition:	1st ed. 2022
ISBN-13:	978-981-16-5849-5
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Earth & environment > The environment > Management of land & natural resources Books > Professional & Technical > Agriculture & farming > Agricultural science Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	981-16-5849-8
Barcode:	9789811658495

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