Internet of Things and Machine Learning in Agriculture: Technological Impacts and Challenges (De Gruyter Frontiers in Computational Intelligence, 8) - Hardcover
Synopsis
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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About the Author
Jyotir Moy Chatterjee, LBEF, Nepal; Abhishek Kumar, CUIET, India; P. S. Rathore, ACERC, India; Vishal Jain, Sharda University, India
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Internet of Things and Machine Learning in Agriculture
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
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Hardback. Condition: New. 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. Seller Inventory # LU-9783110691221
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Internet of Things and Machine Learning in Agriculture
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.
Seller rating 5 out of 5 stars
Hardback. Condition: New. 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. Seller Inventory # LU-9783110691221
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Internet of Things and Machine Learning in Agriculture : Technological Impacts and Challenges
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Gruyter, Walter de GmbH, 2021
ISBN 10: 3110691221
ISBN 13: 9783110691221
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Seller: Buchpark, Trebbin, Germany
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 408 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar. Seller Inventory # 36990197/12
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