The file identifies the Disease affecting the rice crops by using Convolution neural network.
The target has three classes namely
- Bacterial Leaf Blight
- Brown Spot
- Leaf Smut
The project is done using two separate methods but both yield the same result.
- One way was using train-test-split method of cross validation and the images were resized and scaled explicitly.
- The other way was that the images were preprocessed using the ImageDataGenerator from the Tensorflow library.
The neural network model is initialised with 3 hidden layers in addition to the input and output layers.
The model is deployed using the Flask framework.