This book explores an advanced approach to automatic marker-based morphological image segmentation, classification, and disease detection in diseased tomato plants using Support Vector Machine (SVM) classification. It delves into how morphological processing enhances image segmentation accuracy, enabling precise identification of diseased regions in tomato plants. The book also discusses feature extraction techniques, classification methods, and the effectiveness of SVM in distinguishing between healthy and diseased plant areas. This work is particularly useful for researchers, agronomists, and computer vision experts working on precision agriculture and plant disease diagnosis using deep learning and machine learning techniques.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores an advanced approach to automatic marker-based morphological image segmentation, classification, and disease detection in diseased tomato plants using Support Vector Machine (SVM) classification. It delves into how morphological processing enhances image segmentation accuracy, enabling precise identification of diseased regions in tomato plants. The book also discusses feature extraction techniques, classification methods, and the effectiveness of SVM in distinguishing between healthy and diseased plant areas. This work is particularly useful for researchers, agronomists, and computer vision experts working on precision agriculture and plant disease diagnosis using deep learning and machine learning techniques. 76 pp. Englisch. N° de réf. du vendeur 9786208429010
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Paperback. Etat : new. Paperback. This book explores an advanced approach to automatic marker-based morphological image segmentation, classification, and disease detection in diseased tomato plants using Support Vector Machine (SVM) classification. It delves into how morphological processing enhances image segmentation accuracy, enabling precise identification of diseased regions in tomato plants. The book also discusses feature extraction techniques, classification methods, and the effectiveness of SVM in distinguishing between healthy and diseased plant areas. This work is particularly useful for researchers, agronomists, and computer vision experts working on precision agriculture and plant disease diagnosis using deep learning and machine learning techniques. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9786208429010
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book explores an advanced approach to automatic marker-based morphological image segmentation, classification, and disease detection in diseased tomato plants using Support Vector Machine (SVM) classification. It delves into how morphological processing enhances image segmentation accuracy, enabling precise identification of diseased regions in tomato plants. The book also discusses feature extraction techniques, classification methods, and the effectiveness of SVM in distinguishing between healthy and diseased plant areas. This work is particularly useful for researchers, agronomists, and computer vision experts working on precision agriculture and plant disease diagnosis using deep learning and machine learning techniques. N° de réf. du vendeur 9786208429010
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Taschenbuch. Etat : Neu. Image-Based Plant Disease Detection | A Machine Learning Perspective | Jayapriya Palanisamy | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208429010 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. N° de réf. du vendeur 133336266
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