README.md

Rice Leaf Disease Image Classification Using Integrated Deep Learning Frameworks

Techniques Used:

1. Transfer Learning.
2. Feature Extraction and ML Classifiers.
3. Feature Fusion.
4. Handcrafted Features.
5. Fusion of Deep Features and Handcrafted Features.

Content:

Every folder has ipynb file that contains the code for the project and the result of each training and testing of different methods are in the excel files in the same folder. To run the codes, one needs to download all the libraries used and the code then can be run on kaggle. Dataset is present on kaggle, link to which is : https://www.kaggle.com/datasets/amanmaurya36/riceleafdataset