Grape Leaf Disease Detection using Image Processing |
Author(s): |
| Shweta Sukumar Kothavale , Walchand Institute of technology, solapur; S. R. Barbade, Walchand Institute of technology, solapur |
Keywords: |
| Image Processing, Image Acquisition, Histogram Equalization, GLCM Feature, SVM Classification |
Abstract |
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Identification of the grape leaf disease is the main goal to prevent the losses in the yield and quality of agricultural product. Disease detection on grape leaf is very critical for sustainable agriculture. It is very difficult to continuous monitor the grape disease manually. It requires the excessive processing time, tremendous amount of work, and some expertize in the grape leaf diseases. To detect the grape disease we need fast automatic process so we use image processing technique. This paper presents mainly four stages, viz image acquisition, histogram equalization, GLCM feature and SVM classification. This paper is proposed to benefit in the detection and classification of grape leaf disease using support vector machine (SVM) technique. |
Other Details |
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Paper ID: IJSRDV6I21647 Published in: Volume : 6, Issue : 2 Publication Date: 01/05/2018 Page(s): 2573-2574 |
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