MATLAB Based Rice Leaf Disease Detection Using Texture Analysis of Digital Image Processing

Firoz Sarkar

Abstract: Every day, our society becomes more and more reliant on technology. However, agriculture is essential to our continued existence. One of the main food grains by agriculture production is rice. Approximately half of the global populace depends on it for food, and it creates a significant number of jobs. Therefore, it is crucial to mitigate rice plant diseases properly. Three rice leaf diseases - bacterial leaf blight, brown spot, and leaf smut are proposed to be detected using the model developed in this study. Texture analysis of digital image processing has been used in this paper. In MATLAB statistical features of texture analysis has been calculated for diseases affected and healthy leaf of rice. Calculated values have been compared for detection and classification. The precision level of the results has been very satisfactory (bacterial leaf blight-71%, brown spot-87% & leaf smut-73%).

Keywords: Rice leaf diseases, Histogram analysis, Image Features, Texture analysis