Identification of Mango Leaf Disease and Control Prediction using Image Processing and Neural Network |
Author(s): |
| Bed Prakash , RCET BHILAI (C.G.) Durg, India; Amit Yerpude, RCET BHILAI (C.G.) Durg, India |
Keywords: |
| K-Means Clustering, BPNN, Mango, Optimal, Leaf Disease |
Abstract |
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This proposed system has used the K-means clustering technique for the segmentation purpose and the Back Propagation Neural Network (BPNN) technique for the classification of the mango leaf disease. This system has been tested with the different numbers of test data set collected from different regions. The system is tested for different numbers of clusters to get the optimal number of cluster that can produce the best performance of the proposed mango leaf disease identification and control prediction system. This proposed system has overcome the problem of identification of mango leaf disease manually with the accuracy of about 94%. |
Other Details |
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Paper ID: IJSRDV3I50556 Published in: Volume : 3, Issue : 5 Publication Date: 01/08/2015 Page(s): 794-799 |
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