Detection Of Plant Leaf Disease Using Image Processing Techniques
Bindushree H B, Dr. Sivasankari G G
Keywords: Artificial Intelligence, Classification, K means Clustering, Machine Learning Support, Plant Disease Analysis
ABSTRACT: An estimated seventy percent of Indian economy depends on agriculture. Since there is growing Indian population, which is increasingly dependent on the agricultural yield, production of the crops must be enhanced. In order to grow more the diseases must be analysed in prior. Diseases are analysed using different image processing techniques. One such technique is proposed here. The proposed framework has been implemented in three phases. First, image segmentation is performed using K means clustering to identify the diseased regions area. In the next step features are extracted from segmented regions using feature extraction techniques such as GLCM. These feature are then used for classification into healthy or disease affected type. Experimental results of classification using Support Vector Machines show that our proposed technique is quite significantly better than any other existing techniques used for Plant Disease Detection and Identification and Support Vector Machines provides very accurate classification results.
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