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Automatic Brown Spot and Frog Eye Detection from the Image Captured in the Field

In this research paper, we introduce a practical application of Digital image processing in agriculture for detecting and classifying Brown Spot and frog eye. The image is captured by mobile phone in the field and applies the digital image processing method for detection and classification the both diseases. We extract the shape feature vector by digital image processing and this feature vector helps to use a K-NN classifier for disease classification. The results of this study recommended that: shape discriminators have good features for classifying the disease and quite satisfactory method for classification.