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

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

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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.
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Data sheet

Name of the Author
(eds.)
Abhishek Kumar
Jyotir Moy Chatterjee
Pramod Singh Rathore
Vishal Jain
Language
English
Series
De Gruyter Frontiers in Computational Intelligence; 8
ISBN
9783110691276
Release date
2021

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

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...

Write your review

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