Disease Classification and Grading of Orange using Machine Learning and Fuzzy Logic

This paper suggests a computer vision based system which have ability to identify deformity in the orange fruits and also organize the flaw type appeared on the surface of orange fruit. The symptoms of flaw mark imply the seriousness of the disease and recommend the optimal approach to deal with the disease. It's conjointly required to diagnose the disease properly with prior to great damage by providing proper treatment. Further, estimation of severity of disease is required for applying proper amount of pesticides to avoid the environmental pollution and economic burden. Here we use multi class SVM with K-means clustering for classification of diseases with 90% of accuracy and Fuzzy logic to compute the degree of disease severity.