Project-AgML/black_gram_disease_classification

Black Gram Disease Classification

A dataset for disease classification of Black Gram. The dataset contains 4,038 images across 5 classes: Cercospora leaf spot, Healthy, Insect, Leaf Crinkle, Yellow Mosaic. Images per class:

• Cercospora leaf spot: 598
• Healthy: 545
• Insect: 408
• Leaf Crinkle: 806
• Yellow Mosaic: 1,681

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

Citation

@article{shoib2025idbgl,
  title={IDBGL: A unique image dataset of black gram (Vigna mungo) leaves for disease detection and classification},
  author={Shoib, Md Mehedi Hasan and Saeem, Shahnewaz and Tonima, Afia Benta Aziz and Mojumdar, Mayen Uddin},
  journal={Data in Brief},
  volume={59},
  pages={111347},
  year={2025},
  publisher={Elsevier}
}

Shoib, Md Mehedi Hasan; Saeem, Shahnewaz; Tonima, Afia Benta Aziz; Mojumdar, Mayen Uddin (2024), “Image Dataset for Disease Detection in Black Gram (Vigna mungo) Leaves: A Resource for Machine Learning Research”, Mendeley Data, V3, doi: 10.17632/z55yrbmn2d.3