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

✍ Scribed by Jyotir Moy Chatterjee (editor); Abhishek Kumar (editor); Pramod Singh Rathore (editor); Vishal Jain (editor)

Publisher: De Gruyter
Year: 2021
Tongue: English
Leaves: 424
Series: De Gruyter Frontiers in Computational Intelligence; 8
Category: Library

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✦ 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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