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
Автор: Mohammad Shorif Uddin, Jagdish Chand Bansal
Издательство: Springer
Год: 2021
Страниц: 180
Язык: английский
Формат: pdf (true), epub
Размер: 41.6 MB
This book discusses computer vision, a noncontact as well as a nondestructive technique involving the development of theoretical and algorithmic tools for automatic visual understanding and recognition which finds huge applications in agricultural productions. It also entails how rendering of Machine Learning techniques to computer vision algorithms is boosting this sector with better productivity by developing more precise systems. Computer vision and machine learning (CV-ML) helps in plant disease assessment along with crop condition monitoring to control the degradation of yield, quality, and severe financial loss for farmers.