Pomegranate Fruits Disease Classification with Fuzzy C Mean Clustering
| Author(s) | : | Shivanand B Lamani, Ravikumar K, Arshi Jamal |
| Institution | : | Faculty in Computer Science Dept, Akkamahadevi Women’s University, Vijayapur |
| Published In | : | Vol. 5, Issue 2 — February 2018 |
| Page No. | : | 68-75 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
The Identification of pomegranate fruit disease (bacterial blight, scab etc.) and also the remedy for thatdisease after identification are proposed. Bacterial Blight disease needs to control at initial stages otherwise it makeseconomic loss to farmers. The captured image of the diseased fruit uploads to the system. The system then makes theimage processing and makes the classification of fruit is infected. In Proposed system comparative accuracy analysis isdone using fuzzy mean segmentation and also with different classifiers like PNN (Probabilistic Neural Network), KNN (KNearest Neighbors’) and SVM (Support Vector machine). To achieve more accuracy closed capturing system, with highresolution camera is used, due to this capturing system 99% accuracy is achieved.
Shivanand B Lamani, Ravikumar K, Arshi Jamal, “Pomegranate Fruits Disease Classification with Fuzzy C Mean Clustering”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 2, pp. 68-75, February 2018.
