Project-AgML/orange_leaf_disease_classification

Orange Leaf Disease Classification

A dataset for disease classification of orange leaves. The dataset contains 5,813 images across 11 classes: citrus_canker, citrus_greening, citrus_mealybugs, die_back, foliage_damaged, healthy_leaf, powdery_mildew, shot_hole, spiny_whitefly, yellow_dragon, yellow_leaves.
Images per class:

• citrus_canker: 588
• citrus_greening: 254
• citrus_mealybugs: 603
• die_back: 642
• foliage_damaged: 632
• healthy_leaf: 547
• powdery_mildew: 598
• shot_hole: 560
• spiny_whitefly: 672
• yellow_dragon: 407
• yellow_leaves: 310

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

Citation

@article{emon2024multi,
  title={Multi-format open-source sweet orange leaf dataset for disease detection, classification, and analysis},
  author={Emon, Yousuf Rayhan and Ahad, Md Taimur and Rabbany, Golam},
  journal={Data in Brief},
  volume={55},
  pages={110713},
  year={2024},
  publisher={Elsevier}
}

Emon, Yousuf Rayhan; Ahad, Md Taimur; Khan, Shahrin ; Mustofa, Sumaya (2025), “Multi-format open-source sweet orange leaf dataset for disease detection, classification, and analysis.”, Mendeley Data, V2, doi: 10.17632/f7cr74mwpj.2