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

@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