Plant disease detection system has been a necessity for cultivators as detection of a correct disease might lead to a
proper yield and effective growth of the plant. The proposed plant disease detection methodology aims at identifying tomato plant
diseases from digital images of affected plant leaves. This proposed technique will help farmers or any tomato cultivators to
detect plant diseases digitally as the same process manually might lead to incorrect detection. In the proposed project, various
image processing steps are performed on the leaf images along with classification methods such as K-Nearest Neighbor
Algorithm and Naïve Bayes algorithm to distinguish between different plant diseases
