APPLE FRUIT DISEASE DETECTION USING IMAGE PROCESSING AND SUPPORT VECTOR MACHINE

Abstract: This project presents a method for identifying apple disease and an approach for careful detection of diseases. The goal of proposed work is to diagnose the disease of fruit using image processing and (SVM) Support Vector Machine. The diseases on the fruit are critical issue which makes the sharp decrease in the production of fruit. The study of interest is the fruit rather than whole apple fruit fruit because about 85-95 % of diseases occurred on the fruit like, the methodology to detect fruit disease in this work includes K mean’s clustering algorithm for segmentation and Support Vector Machine. The proposed detection model based very effective in recognizing fruit diseases.

Keywords: Image Processing,Support Vector Machine,K means Clustering