Internet of Things and Machine Learning in Agriculture: Technological Impacts and Challenges
Chatterjee, Jyotir
ISBN 10: 3110691221 ISBN 13: 9783110691221
Published by De Gruyter, 2021
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2021. Hardcover. . . . . . Books ship from the US and Ireland. Seller Inventory # V9783110691221
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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.
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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Title: Internet of Things and Machine Learning in ...
Publisher: De Gruyter
Publication Date: 2021
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Hardcover. Condition: new. Hardcover. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9783110691221
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Internet of Things and Machine Learning in Agriculture: Technological Impacts and Challenges (De Gruyter Frontiers in Computational Intelligence, 8)
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Hardcover. Condition: new. Hardcover. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9783110691221