Paddy Leaf Disease Detection and Recognition using Image Processing

Abstract

Rice crops have been recognized as one of the most powerful energy sources for resource production over the last few decades. Rice plant diseases are regarded as a major cause of crop failure, economic and communal loss in the agricultural field s future development. Since the last ten years, researchers have been keenly interested in the diagnosis of plant disease approaches to image processing techniques. The primary goal of this research is to create an image processing system capable of identifying and classifying bacterial blight disease. A set of infected rice plant images from a rice field are captured using a digital camera and empirically evaluated using background removal and segmentation techniques. Image segmentation, feature extraction, feature selection, and classification are used to compare them. This paper also makes recommendations for future research on the diagnosis of bacterial blight disease.