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PFSD_Musa_banana_disease_classification

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PFSD Musa Banana Disease Classification

A dataset for disease classification of bananas. The dataset contains 6,700 images across 8 classes: BACTERIAL SOFT ROT, BANANA APHIDS, BANANA FRUIT- SCARRING BEETLE, BLACK SIGATOKA, PANAMA DISEASE, POTASSIUM DEFICIENCY, PSEUDOSTEM WEEVIL, YELLOW SIGATOKA.
Images per class:

BACTERIAL SOFT ROT: 1,078
BANANA APHIDS: 366
BANANA FRUIT- SCARRING BEETLE: 150
BLACK SIGATOKA: 474
PANAMA DISEASE: 102
POTASSIUM DEFICIENCY: 1,530
PSEUDOSTEM WEEVIL: 2,736
YELLOW SIGATOKA: 264

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

Citation

@article{medhi2022psfd,
  title={PSFD-Musa: A dataset of banana plant, stem, fruit, leaf, and disease},
  author={Medhi, Epsita and Deb, Nabamita},
  journal={Data in brief},
  volume={43},
  pages={108427},
  year={2022},
  publisher={Elsevier}
}

MEDHI, EPSITA (2022), “PSFD-Musa DATASET”, Mendeley Data, V1, doi: 10.17632/4wyymrcpyz.1

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