Pomegranate Fruits Disease Classification with Fuzzy C Mean Clustering
Keywords:
-Abstract
The Identification of pomegranate fruit disease (bacterial blight, scab etc.) and also the remedy for that
disease after identification are proposed. Bacterial Blight disease needs to control at initial stages otherwise it makes
economic loss to farmers. The captured image of the diseased fruit uploads to the system. The system then makes the
image processing and makes the classification of fruit is infected. In Proposed system comparative accuracy analysis is
done using fuzzy mean segmentation and also with different classifiers like PNN (Probabilistic Neural Network), KNN (K
Nearest Neighbors’) and SVM (Support Vector machine). To achieve more accuracy closed capturing system, with high
resolution camera is used, due to this capturing system 99% accuracy is achieved.
