Application of Machine Learning in Agriculture (Paperback)

Application of Machine Learning in Smart Agriculture is the first book to present a multidisciplinary look at how technology can not only improve agricultural output, but the economic efficiency of that output as well. Through a global lens, the book approaches the subject from a technical perspective, providing important knowledge and insights for effective and efficient implementation and utilization of machine learning. As artificial intelligence techniques are being used to increase yield through optimal planting, fertilizing, irrigation, and harvesting, these are only part of the complex picture which must also take into account the economic investment and its optimized return. The performance of machine learning models improves over time as the various mathematical and statistical models are proven. Presented in three parts, Application of Machine Learning in Smart Agriculture looks at the fundamentals of smart agriculture; the economics of the technology in the agricultural marketplace; and a diverse representation of the tools and techniques currently available, and in development. This book is an important resource for advanced level students and professionals working with artificial intelligence, internet of things, technology and agricultural economics.

General

Imprint:	Academic Press Inc
Country of origin:	United Kingdom
Release date:	May 2022
First published:	2022
Editors:	Mohammad Ayoub Khan • Rijwan Khan • Mohammad Aslam Ansari
Dimensions:	235 x 191 x 21mm (L x W x T)
Format:	Paperback
Pages:	330
ISBN-13:	978-0-323-90550-3
Categories:	Books > Professional & Technical > Agriculture & farming > General Books > Business & Economics > Industry & industrial studies > Primary industries > Agriculture & related industries Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	0-323-90550-1
Barcode:	9780323905503

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