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Computer Vision and Machine Learning in Agriculture, Volume 2

Language EnglishEnglish
Book Hardback
Book Computer Vision and Machine Learning in Agriculture, Volume 2 Mohammad Shorif Uddin
Libristo code: 38574077
Publishers Springer Verlag, Singapore, March 2022
This book is as an extension of previous book "Computer Vision and Machine Learning in Agriculture"... Full description
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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.

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About the book

Full name Computer Vision and Machine Learning in Agriculture, Volume 2
Language English
Binding Book - Hardback
Date of issue 2022
Number of pages 260
EAN 9789811699900
Libristo code 38574077
Weight 582
Dimensions 155 x 235 x 20
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