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Internet of Things and Machine Learning in Agriculture:...

Internet of Things and Machine Learning in Agriculture: Technological Impacts and Challenges

Jyotir Moy Chatterjee, Abhishek Kumar, Pramod Singh Rathore, Vishal Jain, (eds.)
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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.

Year:
2021
Publisher:
De Gruyter
Language:
english
Pages:
424
ISBN 10:
3110691272
ISBN 13:
9783110691276
Series:
De Gruyter Frontiers in Computational Intelligence; 8
File:
PDF, 8.26 MB
IPFS:
CID , CID Blake2b
english, 2021
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