In this project, convolutional neural network models are developed to perform plant disease detection through deep learning methodologies. Training of the models was performed with the use of an open database from plant village website that consists of a set of 38 distinct classes of [plant, disease] combinations, including healthy plants. Our proposed project includes various phases of implementation namely dataset importing, feature extraction, training the classifier and classification The deep learning models used would be VGG, INCEPTION, ALEXNET, AND RESNET