Data Science in Agriculture and Natural Resource Management /

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 expe...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Reddy, G. P. Obi (Editor), Raval, Mehul S. (Editor), Adinarayana, J. (Editor), Chaudhary, Sanjay (Editor)
Format: eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2022.
Edition:1st ed. 2022.
Series:Studies in Big Data, 96
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Call Number: Q342
 
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Q342 Available