In our research, we have used Convolution Neural Networks (CNN) to detect and identify the type of leaf as well as the disease it has been affected with. The image dataset we used for the training purpose is titled ‘Plant Village’. In this, the plant species were properly differentiated with respect to their species and disease they have been affected with. This image data was first made compatible with our CNN model by reducing its dimension to 227X227 pixels. The model was trained on various CNN layers to ensure that the features are extracted suitably. To deploy the model, we used stream lit web application python module. Here we could upload the leaf image and for our model to make a prediction. With our model, we were able to achieve an accuracy of above98%

Convolution Neural Network, Dataset, Accuracy, Validation and Training