Project-AgML/sugarcane_leaf_disease_classification

Sugarcane Leaf Disease Classification

A dataset for image classification of Sugarcane Leaf Disease Classification. The dataset contains 6,748 images across 11 classes: Banded Chlorosis, Brown Spot, BrownRust, Dried, Grassy shoot, Healthy, Pokkah Boeng, Sett Rot, Smut, Viral Disease, Yellow Leaf.
Images per class:

• Banded Chlorosis: 471
• Brown Spot: 1,722
• BrownRust: 314
• Dried: 343
• Grassy shoot: 346
• Healthy: 430
• Pokkah Boeng: 297
• Sett Rot: 652
• Smut: 316
• Viral Disease: 663
• Yellow Leaf: 1,194

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

Citation

@article{thite2024sugarcane,
  title={Sugarcane leaf dataset: A dataset for disease detection and classification for machine learning applications},
  author={Thite, Sandip and Suryawanshi, Yogesh and Patil, Kailas and Chumchu, Prawit},
  journal={Data in brief},
  volume={53},
  pages={110268},
  year={2024},
  publisher={Elsevier}
}

Thite, Sandip; Suryawanshi, Yogesh; PATIL, Kailas; chumchu, prawit (2023), “Sugarcane Leaf Image Dataset”, Mendeley Data, V1, doi: 10.17632/9twjtv92vk.1