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 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 a…
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Produktdetails
Weitere Autoren: Chaudhary, Sanjay (Hrsg.) / Adinarayana, J. (Hrsg.) / Raval, Mehul S. (Hrsg.)
- ISBN: 978-981-1658-46-4
- EAN: 9789811658464
- Produktnummer: 37239445
- Verlag: Springer Nature Singapore
- Sprache: Englisch
- Erscheinungsjahr: 2021
- Seitenangabe: 336 S.
- Masse: H24.1 cm x B16.0 cm x D2.4 cm 670 g
- Auflage: 1st ed. 2022
- Abbildungen: HC runder Rücken kaschiert
- Reihenbandnummer: 96
- Gewicht: 670
Über den Autor
135771457
6 weitere Werke von G. P. Obi (Hrsg.) Reddy:
Geospatial Technologies in Land Resources Mapping, Monitoring and Management
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