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Project-AgML/soybean_leaf_disease_classification

Soybean Leaf Disease Classification A dataset for disease classification of soybean leaves. The dataset contains 1,176 images across 6 classes: Bacterial leaf Blight, Dry_leaf, Healthy, Root_images, Septoria_Brown_Spot, Vein Necrosis.Images per class: Bacterial leaf Blight: 226 Dry_leaf: 230 Healthy: 288 Root_images: 10 Septoria_Brown_Spot: 284 Vein Necrosis: 138 This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. Citation… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/soybean_leaf_disease_classification.

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Soybean Leaf Disease Classification

A dataset for disease classification of soybean leaves. The dataset contains 1,176 images across 6 classes: Bacterial leaf Blight, Dryleaf, Healthy, Rootimages, SeptoriaBrownSpot, Vein Necrosis. Images per class:

—Bacterial leaf Blight: 226
—Dry_leaf: 230
—Healthy: 288
—Root_images: 10
—SeptoriaBrownSpot: 284
—Vein Necrosis: 138

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

Citation

bibtex

@article{kotwal2024india,
  title={An India soyabean dataset for identification and classification of diseases using computer-vision algorithms},
  author={Kotwal, Jameer and Kashyap, Ramgopal and Pathan, Mohd Shafi},
  journal={Data in Brief},
  volume={53},
  pages={110216},
  year={2024}
}

Kotwal, Jameer ; kashyap, Ramgopal (2023), “ An India soyabean leaf dataset”, Mendeley Data, V1, doi: 10.17632/bshkvgbzpt.1