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 ENG  Vol.12 No.3 , March 2020
Detection of “Swollen Shoot” Disease in Ivorian Cocoa Trees via Convolutional Neural Networks
Abstract: Recent advances in diagnostics have made image analysis one of the main areas of research and development. Selecting and calculating these characteristics of a disease is a difficult task. Among deep learning techniques, deep convolutional neural networks are actively used for image analysis. This includes areas of application such as segmentation, anomaly detection, disease classification, computer-aided diagnosis. The objective which we aim in this article is to extract information in an effective way for a better diagnosis of the plants attending the disease of “swollen shoot”.
Cite this paper: Coulibaly, M. , Kouassi, K. , Kolo, S. and Asseu, O. (2020) Detection of “Swollen Shoot” Disease in Ivorian Cocoa Trees via Convolutional Neural Networks. Engineering, 12, 166-176. doi: 10.4236/eng.2020.123014.
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