InceptionResNetV2 for Plant Leaf Disease Classification

Diseases that assault the leaves of a plant are fundamentally spread by twists and turns. However, this can also happen for plants if there is shortage or excess of water from the downpour or water system and over pesticides. Because of different infection, diseases in vegetable plant life should be anticipated and cured early to reduce the harvest misfortune. A large portion of the sicknesses assaulted in the plants are found in their stems. By the advancement in deep learning techniques, infection order utilizing leaf picture is feasible. For this experiment, potato plant leaves are used. For image preprocessing, a public dataset is utilized likewise the reports are enlarged into products of pictures, and for the testing ongoing information was gathered from the farming field. Framework is planned and tried with various kinds of Convolutional Neural Networks to be like InceptionV3, ResNet and InceptionResNetV2. The general presentation of the framework is anticipated to be 95% to the most extreme and our analysis ends up with the same.