Nowadays,abroad trade has swollen absolutely in varied nations. plenty fruit product ar foreign from alternate countries, as associate example, oranges, apples thus forth. Manual distinctive proof of infected fruit is awfully tedious. the employment of image method procedures is of outstanding implication for the analysis of agro based applications. In any case, detection of infections among the fruit product utilizing photos continues to be risky as a results of the regular changes of colouring in distinctive types of fruit product. throughout this paper three ancient infections of apple fruit ar thought of i.e. Apple scab, apple rot and apple blotch. The image method based planned methodology is created out of the attendant some state of the art color and texture choices ar extracted from the check image, then color and texture choices ar consolidated on and random forest classifier is used for sicknesss classification and if the fruit is infected by any of the one unwellness then the infected 0.5 is split pattern k-means agglomeration technique. The accuracy of the diseases classification will improve by feature level fusion.