Plant Disease Detector and Treatment Provider

Plant diseases hinder the quality and productivity of plants. Detection, correction and premature prevention is essential for the agriculture industry. This paper classifies plant diseases by assessing leaf images using a convolution neural network(CNN) model, a deep learning algorithm which trains on image features such as color, shape, and veins as input metrics with an accurate prediction probability of 95%. The data set used consists of the plant leaves from the Plant Village data set which include 26 varieties of crop species with 14 diseased variants. User input data into the application is securely stored authenticated and stored using SHA256 checksum.