Project-AgML/potato_leaf_disease_classification

Potato Leaf Disease Classification

A dataset for disease classification of potato leaves. The dataset contains 3,076 images across 7 classes: Bacteria, Fungi, Healthy, Nematode, Pest, Phytopthora, Virus.
Images per class:

• Bacteria: 569
• Fungi: 748
• Healthy: 201
• Nematode: 68
• Pest: 611
• Phytopthora: 347
• Virus: 532

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

Citation

@article{shabrina2024novel,
  title={A novel dataset of potato leaf disease in uncontrolled environment},
  author={Shabrina, Nabila Husna and Indarti, Siwi and Maharani, Rina and Kristiyanti, Dinar Ajeng and Prastomo, Niki and others},
  journal={Data in brief},
  volume={52},
  pages={109955},
  year={2024},
  publisher={Elsevier}
}

Shabrina, Nabila Husna; Indarti, Siwi; Maharani, Rina; Kristiyanti, Dinar Ajeng; Irmawati, Irmawati; Prastomo, Niki; M, Tika Adillah (2023), “Potato Leaf Disease Dataset in Uncontrolled Environment”, Mendeley Data, V1, doi: 10.17632/ptz377bwb8.1