Jyotir Moy (Hrsg.) Chatterjee
Internet of Things and Machine Learning in Agriculture
Technological Impacts and Challenges
Ebook (PDF Format)
Agriculture is one of the most fundamental human activities. As the farming capacity has expanded, the usage of resources such as land, fertilizer, and water has grown exponentially, and environmental pressures from modern farming techniques have stressed natural landscapes. Still, by some estimates, worldwide food production needs to increase to keep up with global food demand. Machine Learning and the Internet of Things can play a promising role in the Agricultural industry, and help to increase food production while respecting the environment. This book explains how these technologies can be applied, offering many case studies developed in…
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Beschreibung
Agriculture is one of the most fundamental human activities. As the farming capacity has expanded, the usage of resources such as land, fertilizer, and water has grown exponentially, and environmental pressures from modern farming techniques have stressed natural landscapes. Still, by some estimates, worldwide food production needs to increase to keep up with global food demand. Machine Learning and the Internet of Things can play a promising role in the Agricultural industry, and help to increase food production while respecting the environment. This book explains how these technologies can be applied, offering many case studies developed in the research world.
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Produktdetails
Weitere Autoren: Kumar, Abhishek (Hrsg.) / Rathore, Pramod Singh (Hrsg.) / Jain, Vishal (Hrsg.)
- ISBN: 978-3-11-069127-6
- EAN: 9783110691276
- Produktnummer: 37343728
- Verlag: Gruyter, Walter de GmbH
- Sprache: Englisch
- Erscheinungsjahr: 2021
- Seitenangabe: 424 S.
- Plattform: PDF
- Abbildungen: 170 b/w ill., 43 b/w tbl.
- Reihenbandnummer: 8
Über den Autor
Jyotir Moy Chatterjee, LBEF, Nepal; Abhishek Kumar, CUIET, India; P. S. Rathore, ACERC, India; Vishal Jain, Sharda University, India
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