Classification of Disease Symptoms in Tomato Leaf with the help of Convolutional Neural Network

Plant’s healthy growth is necessary for maintaining the progress of the country. So that it can generate revenue and maintain the economy by doing both imports and exports. For this to happen it is desirable to grow large amount of high-quality plants. To accelerate the production, it is the need of the hour to identify whether the plant is well or not. If the plant condition is not of satisfactory level then the classification of disease has to be performed. This research study is done by using the model named CNN which accounts for an accuracy of 92% when performed to classify diseases on tomato crop plants. This consists of overall ten classes to classify the disease ahead of time. PlantVillage dataset is the medium for obtaining the collection of pictures for the model.