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Paper Details

Paper Title
Pomegranate Fruits Disease Classification with Fuzzy C Mean Clustering
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.
KeyWord
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Others Details
Paper Id : 24097
Author Name : Shivanand B Lamani
Co-Author Name(s) : Ravikumar KArshi Jamal
Volume/Issue No : Volume 05 Issue 02
Page No : 68-75
DOI Number : DOI:10.21090/IJAERD.24097
Publication Date : 2018-02-10
License : This work is licensed under a Creative Commons Attribution 4.0 International License.
website : http://www.ijaerd.com/index.php
Impact Factor : 4.72, SJIF-2016
ISSN Details : eISSN: 2348-4470, pISSN:2348-6406