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rice_leaf_disease_prediction's Introduction

Rice-Leaf Disease Prediction

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.

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