Leaves Disease and Damage Rate Classification based on Features.

All of the leaves are attacked by many diseases and insects in their life. The leaf symptom are transform different colors when the face of disease attack This paper uses the image processing techniques to detect transform of color on the leaf and classify the disease based on the color values. This paper uses region base segmentation based on RGB color value. Paddy leaf is segmented on color feature value and classify these color values to support decisions for disease type. Image enhancement process start to eliminate noise in an image and next is object extraction. The system uses median filter technique and segment the object in color regions. Analysis of color region value and the texture of leaf classified the damage rate and diseases.