Plant diseases are of numerous kinds. Recognizing each one of them would be a tedious task for a human being, but a machine can solve this issue. Farmers used to take a small cutting of an infected plant to a local garden centre, which includes plant pathologists who can often help to identify the disease manually. Later Machine learning algorithms came into existence and its usage gave the accurate results. Machine Learning deals with classification and used to classify plants based on health like unhealthy and healthy plants. "Classification" is the key concept used here. Classification of the plant leaves done centred around morphological features. Classification can be done by using decision tree, k- means clustering, neural network etc. We are proposing a web application which helps in identifying the disease type for the given input from a trained data set using "Convolutional Neural Network", a deep learning algorithm.