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Study and Development of Automated System to Identify Leaf Spot Rice Disease Using Image Processing Techniques

. Shashank Chaudhary, Dr.Upendra kumar and Dr. Shwetank Parihar


Abstract

Smart farming is a concept that involves the use of high-quality algorithms to make agriculture more productive. The process of machine learning is a subfield of Artificial Intelligence (AI) that enables machines to learn and improve their skills without being programmed.  In this work a methodology was developed using Gray-Level co-occurrence matrix (GLCM) for feature extraction and Support Vector Machine (SVM) for classification, to detect the disease with desired level of accuracy. This tool was developed in MATLAB for the precision agriculture to detect the leaf spot disease. Approximately 1000 images data sets were used to accurately (more than 90%) classify the rice disease.

Keywords- Image processing, AI, GLCM, SVM.

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