Téléchargez le livre : Computer Vision and Machine Learning in Agriculture, Volume 2

Computer Vision and Machine Learning in Agriculture, Volume 2

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Éditeur :

Springer


Collection :

Algorithms for Intelligent Systems

Paru le : 2022-03-13

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Description

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.
Pages
260 pages
Collection
Algorithms for Intelligent Systems
Parution
2022-03-13
Marque
Springer
EAN papier
9789811699900
EAN PDF
9789811699917
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
26
Taille du fichier
10445 Ko
Prix
158,24 €
EAN EPUB
9789811699917
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
26
Taille du fichier
81859 Ko
Prix
158,24 €

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