Pomegranate Diseases Recognization using Computer Vision |
Author(s): |
| Sneha Subhash Dangare , Visvesvaraya technological university; Ranjana B. N, Visvesvaraya technological university |
Keywords: |
| KNN, Image Preprocessing, ROC |
Abstract |
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The scope of the implementation is to find the diseases on pomegranate automatically and symptoms also give the presentation of these disease. For these type of detection using the various techniques, image processing is one of the easiest method for these kind of detection and classification. During this classification it training and testing dataset required it takes through the digital camera. Through images by using k-means algorithm to feature extraction such as texture and color. We has done the classification of diseased images using k-Nearest Neighbor algorithm (KNN). To identifying and detection of diseases KNN classification technique gives the more accuracy obtaining through radio operational characteristic i.e. (ROC) graph. Finally through this experiment we have the detection of pomegranate diseases and prevention of these diseases. |
Other Details |
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Paper ID: IJSRDV6I50408 Published in: Volume : 6, Issue : 5 Publication Date: 01/08/2018 Page(s): 679-681 |
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