Published Paper Details:

Agriculture is a major source of income for the country. Leaf diseases in agriculture are a major concern for many countries, as food consumption is increasing rapidly owing to population growth. The early and precise detection and diagnosis of leaf diseases are critical to preventing their spread. Image processing techniques including mathematical equations and mathematical transformations can be employed for disease identification. For human eyes, an image is a mixture of RGB colours from which we can extract the features. Modern computers, on the other hand, store images in a mathematical structure, which means the computer views the image as numbers. After evaluating the image as a numerical array or matrix, we may apply various transforms to it to extract specific features. However, before the picture can be transformed, it must first go through different procedures such as transformation. K-Means Clustering and the Support Vector Machine Algorithms are used in MATLAB to identify and classify several forms of leaf diseases.