Computer Vision and Machine Learning in Agriculture, Volume 2 (Hardcover, 1st ed. 2022)

This book is as an extension of previous book "Computer Vision and Machine Learning in Agriculture" for academicians, researchers, and professionals interested in solving the problems of agricultural plants and products for boosting production by rendering the advanced machine learning including deep learning tools and techniques to computer vision algorithms. The book contains 15 chapters. The first three chapters are devoted to crops harvesting, weed, and multi-class crops detection with the help of robots and UAVs through machine learning and deep learning algorithms for smart agriculture. Next, two chapters describe agricultural data retrievals and data collections. Chapters 6, 7, 8 and 9 focuses on yield estimation, crop maturity detection, agri-food product quality assessment, and medicinal plant recognition, respectively. The remaining six chapters concentrates on optimized disease recognition through computer vision-based machine and deep learning strategies.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Algorithms for Intelligent Systems
Release date:	March 2022
First published:	2022
Editors:	Mohammad Shorif Uddin • Jagdish Chand Bansal
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	260
Edition:	1st ed. 2022
ISBN-13:	978-981-16-9990-0
Categories:	Books > Professional & Technical > Agriculture & farming > Agricultural science Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
LSN:	981-16-9990-9
Barcode:	9789811699900

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