Abstract
Disease damage to rice can greatly reduce yield, rice assessing the health condition of rice plant through its leaves .In this paper an automated rice leaf disease detection using image processing techniques is proposed here. An image segmentation and feature extraction technique is used for analysis the disease. Paddy blast and brown spot disease mainly analyzed here. Shape and colour features are extracted using SIFT .After the feature extraction SVM classifier analysis the results. (The overall accuracy of the system should improve for 95.00 percentages).
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