Project-AgML/rice_leaf_disease_classification_india

Rice Leaf Disease Classification India

A dataset for disease classification of rice leaves. The dataset contains 5,932 images across 4 classes: Bacterialblight, Blast, Brownspot, Tungro.
Images per class:

• Bacterialblight: 1,584
• Blast: 1,440
• Brownspot: 1,600
• Tungro: 1,308

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

@article{sethy2020deep,
  title={Deep feature based rice leaf disease identification using support vector machine},
  author={Sethy, Prabira Kumar and Barpanda, Nalini Kanta and Rath, Amiya Kumar and Behera, Santi Kumari},
  journal={Computers and Electronics in Agriculture},
  volume={175},
  pages={105527},
  year={2020},
  publisher={Elsevier}
}

sethy, prabira Kumar (2024), “Rice Leaf Disease Image Samples”, Mendeley Data, V2, doi: 10.17632/fwcj7stb8r.2

This dataset was reformatted from its original format to match HuggingFace standards.