书目名称 | Computer Vision and Machine Learning in Agriculture | 编辑 | Mohammad Shorif Uddin,Jagdish Chand Bansal | 视频video | | 概述 | Discusses applications of computer vision and machine learning (CV-ML) for better agricultural practices.Describes intelligent robots developed with the touch of CV-ML.Presents deep learning tools and | 丛书名称 | Algorithms for Intelligent Systems | 图书封面 |  | 描述 | .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 | 出版日期 | Book 2021 | 关键词 | Precision Agriculture; Disease Detection; Pest, Insect, Species Recognition; Product Quality and Defect | 版次 | 1 | doi | https://doi.org/10.1007/978-981-33-6424-0 | isbn_softcover | 978-981-33-6426-4 | isbn_ebook | 978-981-33-6424-0Series ISSN 2524-7565 Series E-ISSN 2524-7573 | issn_series | 2524-7565 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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