Detection of Plant Disease by Leaf Image Using Convolutional Neural Network

In this paper, a new architecture was proposed for the effective classification of plant diseases. Generally, humans can identify the plants that are affected by certain diseases, but apart from our eyesight, it is tough to detect. Without giving the right treatment and immediate actions, the entire cultivation land can turn into a diseases affected area, else all plants which are a neighbor to one another can get affected by means of spreading. So to detect the plant diseases in advance and to detect the diseases with the help of modern computer technology, we proposed a model for the efficient distinguishing plant diseases. The dataset used here consists of several varieties of plants of both affected and healthy, and all these images are collected from various freely available sources and manually. A new CNN model was trained and tested. Finally, this proposed model has given very good accuracy when tested in field conditions.