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Computer Vision and Machine Learning in Agriculture (Algorithms for Intelligent Systems) - Hardcover
- PublisherSpringer
- Publication date2021
- ISBN 10 9813364238
- ISBN 13 9789813364233
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages186
- EditorUddin Mohammad Shorif, Bansal Jagdish Chand
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Computer Vision and Machine Learning in Agriculture (Algorithms for Intelligent Systems)
Seller: WeBuyBooks, Rossendale, LANCS, United Kingdom
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Condition: Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind. Seller Inventory # wbs6821098090
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Computer Vision and Machine Learning in Agriculture (Algorithms for Intelligent Systems)
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Computer Vision and Machine Learning in Agriculture (Algorithms for Intelligent Systems)
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Computer Vision and Machine Learning in Agriculture
Print on DemandSeller: moluna, Greven, Germany
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 techniquesProf. Seller Inventory # 437752757
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Computer Vision and Machine Learning in Agriculture
Published by
Springer Nature Singapore Mrz 2021, 2021
ISBN 10: 9813364238
ISBN 13: 9789813364233
New
Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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, applications of robots in agriculture, precision farming, assessment of product quality and defects, pest, insect, fruits, and vegetable types recognition. 188 pp. Englisch. Seller Inventory # 9789813364233
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Computer Vision and Machine Learning in Agriculture (Algorithms for Intelligent Systems)
Seller: California Books, Miami, FL, U.S.A.
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Computer Vision and Machine Learning in Agriculture
Published by
Springer Nature Singapore, Springer Nature Singapore, 2021
ISBN 10: 9813364238
ISBN 13: 9789813364233
New
Hardcover
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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, applications of robots in agriculture, precision farming, assessment of product quality and defects, pest, insect, fruits, and vegetable types recognition. Seller Inventory # 9789813364233
Quantity: 1 available
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Computer Vision and Machine Learning in Agriculture
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Hardcover. Condition: Brand New. 186 pages. 9.25x6.10x9.21 inches. In Stock. Seller Inventory # x-9813364238
Quantity: 2 available