Tomato Disease Classification with CNN Architecture

The aim of this project is to identify various diseases on tomatoes based on their leaves. It is very important in agriculture to identify diseases immediately. To detect the problem in real-time, we develop a Deep Learning model that can be installed on embedded devices and can be used in greenhouses, or by adding the model to some apps people can manually upload a photo of tomato leaves and check how healthy it is. Our model is able to find healthy tomatoes and 9 different diseases. The public dataset, which is available on Kaggle has been used to train and test the model.