Project-AgML/lemon_leaf_disease_classification

Lemon Leaf Disease Classification

A dataset for disease classification of lemon leaves. The dataset contains raw and augmented versions.
The raw dataset contains 1,354 images.
Images per class:

• Anthracnose: 100
• Bacterial Blight: 105
• Citrus Canker: 178
• Curl Virus: 115
• Deficiency Leaf: 193
• Dry Leaf: 186
• Healthy Leaf: 210
• Sooty Mould: 153
• Spider Mites: 114

The augmented dataset contains 9,000 images.
Images per class:

• Anthracnose: 1,000
• Bacterial Blight: 1,000
• Citrus Canker: 1,000
• Curl Virus: 1,000
• Deficiency Leaf: 1,000
• Dry Leaf: 1,000
• Healthy Leaf: 1,000
• Sooty Mould: 1,000
• Spider Mites: 1,000

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

Citation

@article{siam2025comprehensive,
  title={A comprehensive image dataset for the identification of lemon leaf diseases and computer vision applications},
  author={Siam, AKM Fazlul Kobir and Bishshash, Prayma and Nirob, Md Asraful Sharker and Mamun, Sajib Bin and Assaduzzaman, Md and Noori, Sheak Rashed Haider},
  journal={Data in Brief},
  volume={58},
  pages={111244},
  year={2025},
  publisher={Elsevier}
}

Siam, A K M Fazlul Kobir; Bishshash, Prayma; Nirob, Md Asraful Sharker; Mamun, Sajib Bin; Assaduzzaman, Md; Noori, Sheak Rashed Haider (2024), “Comprehensive Lemon Leaf Disease Dataset for Advanced Detection and Sustainable Agriculture”, Mendeley Data, V1, doi: 10.17632/44nrn4593f.1