Internet of Things and Machine Learning in Agriculture

Technological Impacts and Challenges, De Gruyter Frontiers in Computational Intelligence 8

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Bibliografische Daten
ISBN/EAN: 9783110691221
Sprache: Englisch
Umfang: XVI, 408 S., 170 s/w Illustr., 43 s/w Tab., 170 b/
Auflage: 1. Auflage 2021
Einband: gebundenes Buch

Beschreibung

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.

Autorenportrait

Jyotir Moy Chatterjee, LBEF, Nepal; Abhishek Kumar, CUIET, India; P. S. Rathore, ACERC, India; Vishal Jain, Sharda University, India

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