Diagnosis Of Plant Leaf Diseases Used In Image Processing

Abstract

Every country's economy depends on farming. Consequently, to enhance agricultural output, agricultural production relies mainly on plant health, and it is necessary to know plant health and pesticides correctly applied. Farmers who play an essential part in disrupting the production and quality of agricultural goods are faced with a severe challenge by plant infection, a concern for the farmer. A severe disease prevalent in pine trees in the United States is known as leaf disease. Automatic detection of plant diseases is beneficial since, at the beginning of the process, it is essential to identify big harvested houses and distinguish the negative impacts of illnesses at plant emergence, for example. In this study, the image processing technique identifies photo leaf disease in the Matlab program and automatically detects infections. This study shows how image processing was implemented for disease diagnosis, which would increase agricultural output. This method includes a few processes, such as picture capture, pre-image processing, image segmentation, image extraction, and neural.