Towards Sustainable Agriculture: A Novel Approach for Rice Leaf Disease Detection using dCNN and Enhanced Dataset

Paper — link

Get Started

git clone https://github.com/mehedihasanbijoy/Rice-Leaf-Disease-Detection/

or manually download and extract the github repository of the paper.

Download the Enhanced Rice Leaf Disease Dataset

gdown https://drive.google.com/drive/folders/1ZYldfJSbqCEEJfmvqFMvn37WRlik9-1Z?usp=sharing -O ./Dataset --folder

or manually download the folder from here and keep the extracted files into ./Dataset/

Train, Validate, and Test the proposed model

python main.py

Train, Validate, and Test the benchmark models

• Go to ./Rice-Leaf-Disease-Detection/comparison/
• Open the desired model, ResNet50.ipynb for example, with google colab
• Enable GPU acceleration: Runtime > Change Runtime Type > T4 GPU
• Run all the cells: Runtime > Run All