Project-AgML/turmeric_disease_classification

Turmeric Disease Classification

A dataset for disease classification of turmeric. The dataset contains raw and augmented versions.
The raw dataset contains 1,063 images.
Images per class:

• Dry Leaf: 203
• Healthy Leaf: 197
• Leaf Blotch: 199
• Rhizome Disease Root: 182
• Rhizome Healthy Root: 282

The augmented dataset contains 4,548 images.
Images per class:

• Dry Leaf: 812
• Healthy Leaf: 985
• Leaf Blotch: 995
• Rhizome Disease Root: 910
• Rhizome Healthy Root: 846

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

Citation

@article{siam2025data,
  title={A data-driven approach to turmeric disease detection: Dataset for plant condition classification},
  author={Siam, AKM Fazlul Kobir and Nirob, Md Asraful Sharker and Bishshash, Prayma and Assaduzzaman, Md and Ghosh, Apurba and Noori, Sheak Rashed Haider},
  journal={Data in Brief},
  volume={59},
  pages={111435},
  year={2025},
  publisher={Elsevier}
}

SIAM, A K M FAZLUL KOBIR ; Nirob, Md Asraful Sharker; Bishshash, Prayma (2025), “Turmeric Plant Disease Dataset: Advancing AI for Agricultural Sustainability”, Mendeley Data, V2, doi: 10.17632/g46dvrcvwn.2