Bacterial Blight and Spot Disease Detection in Infected Tomato Plants Using Various Image Processing Techniques

Plant disease detection using image processing and machine learning and techniques is a major area of work. Blight disease causes a lot of damage on various crops all throughout the world. We have worked on detecting blight diseases on tomato leaves using typical digital color pictures using a hybrid method for locating symptoms. Because it was designed to be totally automated, it removes the possibility of human error, cutting down on the time it takes to assess the severity of the disease. The technology can handle photos with many infection sites, reducing the amount of time it takes to detect them. According to studies, the results are more accurate when the infected area and veins have the same tone and color characteristics. The algorithm has one constraint: the background must be as dark as feasible. According to studies, the methodology provided accurate estimates in a wide range of conditions, including differences in leaf size, shape, color, symptoms, and leaf veins. Many external factors influence the outcome, such as image capture methods and file compression on different platforms.