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International Research Journal of Engineering and Technology (IRJET)
Agricultural products are prone to diseases as they come into the attack of fungi, bacteria and are also affected by bad environmental conditions. The symptoms are first visible on leaves, stems etc. this paper proposes methodology for detecting diseases in leaves. The objective is to detect and classify diseases. Leaf images are captured and some are used for training purpose and some are used as test images. Proposed method first enhances the image and then converts the RGB image into HSVfatcat:mv26lvb25zc4zo46vpyula4ewa