Automatic Leaf Disease Classification

The project presents leaf disease diagnosis using image processing techniques for automated vision system used at agricultural field. The proposed decision making system utilizes image content characterization and supervised classifier type back propagation with feed forward neural network.
The main objective of this system is to identify the disease in the leaves and notify to the farmers so that they can give the corresponding pesticides to that leaves. It decrease the nearby leaves affection in a short period of time. Using image processing we can easily spot the affected area in the leaves. In reference the normal leaves are taken for the comparison purpose so that we can easily identify the affected leaves. Increase the database the accuracy will be high, images taken for the comparison should not be affected with any of the disease.