Can I read Computer Vision and Machine Learning in Agriculture (Algorithms for Intelligent Systems) on EtoBox?

Computer Vision and Machine Learning in Agriculture (Algorithms for Intelligent Systems) by Mohammad Shorif Uddin (editor), Jagdish Chand Bansal (editor) is a nonfiction available to read on EtoBox.

What is Computer Vision and Machine Learning in Agriculture (Algorithms for Intelligent Systems) about?

"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. Significant scientific and technological advances have been made in defect assessment, quality grading, disease recognition, pests, insects, fruits, and vegetable types recognition and evaluation of a wide range of agricultural plants, crops, leaves, and fruits. The book discusses intelligent robots developed with the touch of CV-ML which can help farmers to perform various tasks like planting, weeding, harvesting, plant health monitoring, and so on. The topics covered in the book include plant, leaf, and fruit disease detection, crop health monitoring, a

Who reads Computer Vision and Machine Learning in Agriculture (Algorithms for Intelligent Systems)?

Author

Mohammad Shorif Uddin (editor), Jagdish Chand Bansal (editor)

Publisher

Springer Singapore, Imprint: Springer

Published

2021

Language

EN

ISBN

9789813364240

Category

nonfiction

Subjects

Engineering, Mathematics, Computer Science