Multi classification of Tomato Leaf Diseases: A Convolutional Neural Network Model

Tomatoes are considered to be an inseparable part of diet among all the cultures and people around the globe. India is ranked 2 in the production of tomatoes all over the globe. This new era has bought many advancements as well as various plant leaf diseases degrading the quality and quantity of tomato crops every year. To tackle this research problem, the current study has applied a Convolutional Neural Network which can classify and detect plant leaf diseases at an early stage. The model proposes 3 convolution layers along with max-pooling layers as well as fully connected layers. This model has shown valuable progress and an accuracy of 94.18% and loss of 0.2734 based upon 5 classes containing 7001 images of tomato leaf diseases.