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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… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/rice_leaf_disease_classification_india.

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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

bibtex

@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.