Etat : 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. N� de r�f. du vendeur wbs6821098090

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Computer Vision and Machine Learning in Agriculture

Uddin, Mohammad Shorif|Bansal, Jagdish Chand

Edit� par Springer Singapore, 2021

ISBN 10 : 9813364238 ISBN 13 : 9789813364233

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Etat : 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&nbspDescribes intelligent robots developed with the touch of CV-ML&nbspPresents deep learning tools and techniquesProf. N� de r�f. du vendeur 437752757

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Computer Vision and Machine Learning in Agriculture

Jagdish Chand Bansal

Edit� par Springer Nature Singapore Mrz 2021, 2021

ISBN 10 : 9813364238 ISBN 13 : 9789813364233

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Buch. Etat : 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. N� de r�f. du vendeur 9789813364233

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Computer Vision and Machine Learning in Agriculture

Jagdish Chand Bansal

Edit� par Springer Nature Singapore, Springer Nature Singapore, 2021

ISBN 10 : 9813364238 ISBN 13 : 9789813364233

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : 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. N� de r�f. du vendeur 9789813364233

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