Data Science in Agriculture and Natural Resource Management
2022 ed.
Book Details
Format
Hardback or Cased Book
Book Series
Studies in Big Data
ISBN-10
9811658463
ISBN-13
9789811658464
Edition
2022 ed.
Publisher
Springer Verlag, Singapore
Imprint
Springer Verlag, Singapore
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Oct 12th, 2021
Print length
316 Pages
AI Summary
Ksh 27,000.00
Werezi Extended Catalogue
0 in stock
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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).
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