Computer Based Classification of Diseased Fruit using K-Means and Support Vector Machine
Ashok Bekkanti, V. S. R. K. Prasad Gunde, Shilpa Itnal, Gayatri Parasa, CMAK Zeelan Basha
Abstract
Fruits play a major role in both the agriculture and industrial sectors. Many farmers in India depend on fruit farming. As exporting fruits to other countries make huge profits in the industrial sector, many industries export fruits to other countries. Diseased fruits can spread its disease to other fruits and leads to damage to other fruits. During the export of fruits, if diseased fruits get packed along with fresh fruits then other fruits also get damaged and leads to a huge loss. Classification of diseased and non-diseased fruits should be done to avoid losses. Manual classification of fruits is a very difficult task and also consumes more time. Here, an automatic detection of diseased fruits with Sobel edge detection and support vector machine proposed, which gives an accuracy of 92% in classifying the diseased and non-diseased fruit.