Internet of Things and Machine Learning in Agriculture - Technological Impacts and Challenges (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.

General

Imprint:	De Gruyter
Country of origin:	Germany
Series:	De Gruyter Frontiers in Computational Intelligence
Release date:	February 2021
First published:	2021
Editors:	Jyotirmoy Chatterjee • Abhishek Kumar • Pramod Singh Rathore • Vishal Jain
Dimensions:	240 x 170 x 31mm (L x W x T)
Format:	Hardcover
Pages:	424
ISBN-13:	978-3-11-069122-1
Categories:	Books > Professional & Technical > Environmental engineering & technology > General Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Business & Economics > Industry & industrial studies > Media, information & communication industries > Information technology industries Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
LSN:	3-11-069122-1
Barcode:	9783110691221

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