Detection and Classification of Unhealthy Region of Grapes Plant using Texture |
Author(s): |
Tejaswini Rajendra Patil , SANDIP FOUNDATION ,SANDIP INSTITUTE OF TECHNOLOGY AND RESEARCH CENTER,NASHIK; Prof. Swati Pawar, SANDIP FOUNDATION ,SANDIP INSTITUTE OF TECHNOLOGY AND RESEARCH CENTER,NASHIK; Shweta Patil, SANDIP FOUNDATION ,SANDIP INSTITUTE OF TECHNOLOGY AND RESEARCH CENTER,NASHIK; Nasrudinali Shaikh, SANDIP FOUNDATION ,SANDIP INSTITUTE OF TECHNOLOGY AND RESEARCH CENTER,NASHIK |
Keywords: |
GLCM, K-mean Clustering, SVM, GSM |
Abstract |
This paper is based on identification and classification of grape leaves diseases. Plant diseases cause damage and economical losses in agricultural crops. The reduction in plant disease is needed to improve in quality of product. The goal of the proposed work is to automatically detect the plant disease as soon as it spread around all over the field and convey the message to the owner of the field area about the disease information. For detection of leaf disease, image processing is used and to convey the message, the hardware design with GSM module is used. |
Other Details |
Paper ID: IJSRDV5I40079 Published in: Volume : 5, Issue : 4 Publication Date: 01/07/2017 Page(s): 53-55 |
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