This book provides a comprehensive introduction to Image Processing and Computer Vision, covering fundamental concepts, algorithms, and real-world applications. Designed for students, researchers, and professionals, it bridges theory with practical implementation.This project explores the use of deep learning techniques for fruit quality detection using image processing. The proposed system demonstrates efficient classification with improved accuracy, offering practical relevance in agricultural automation.An insightful guide that blends knowledge, experience, and real-world examples to help readers master modern technology with confidence.
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Paperback. Condizione: new. Paperback. This book provides a comprehensive introduction to Image Processing and Computer Vision, covering fundamental concepts, algorithms, and real-world applications. Designed for students, researchers, and professionals, it bridges theory with practical implementation.This project explores the use of deep learning techniques for fruit quality detection using image processing. The proposed system demonstrates efficient classification with improved accuracy, offering practical relevance in agricultural automation.An insightful guide that blends knowledge, experience, and real-world examples to help readers master modern technology with confidence. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9789999335515
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides a comprehensive introduction to Image Processing and Computer Vision, covering fundamental concepts, algorithms, and real-world applications. Designed for students, researchers, and professionals, it bridges theory with practical implementation.This project explores the use of deep learning techniques for fruit quality detection using image processing. The proposed system demonstrates efficient classification with improved accuracy, offering practical relevance in agricultural automation.An insightful guide that blends knowledge, experience, and real-world examples to help readers master modern technology with confidence. Codice articolo 9789999335515
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Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. Identification of Rotten and Healthy Fruit Images Using CNN and Image Class | Sonu Rana | Taschenbuch | Englisch | 2026 | Eliva Press | EAN 9789999335515 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Codice articolo 134574349
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