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Project-AgML/arabica_coffee_leaf_disease_classification

Arabica Coffee Leaf Disease Classification A dataset for disease classification of Arabica Coffee Leaf. The dataset contains 58,549 images across 5 classes: Cerscospora, Healthy, Leaf_rust, Miner, Phoma.Images per class: Cerscospora: 7,681 Healthy: 18,983 Leaf_rust: 8,336 Miner: 16,978 Phoma: 6,571 This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. Citation @article{jepkoech2021arabica, title={Arabica coffee leaf… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/arabica_coffee_leaf_disease_classification.

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Dataset Card

Arabica Coffee Leaf Disease Classification

A dataset for disease classification of Arabica Coffee Leaf. The dataset contains 58,549 images across 5 classes: Cerscospora, Healthy, Leaf_rust, Miner, Phoma. Images per class:

—Cerscospora: 7,681
—Healthy: 18,983
—Leaf_rust: 8,336
—Miner: 16,978
—Phoma: 6,571

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

Citation

bibtex

@article{jepkoech2021arabica,
  title={Arabica coffee leaf images dataset for coffee leaf disease detection and classification},
  author={Jepkoech, Jennifer and Mugo, David Muchangi and Kenduiywo, Benson K and Too, Edna Chebet},
  journal={Data in brief},
  volume={36},
  pages={107142},
  year={2021},
  publisher={Elsevier}
}

Jepkoech, jennifer; Kenduiywo, Benson; Mugo, David; Chebet, Edna (2021), “JMuBEN”, Mendeley Data, V1, doi: 10.17632/t2r6rszp5c.1 Jepkoech, Jennifer; Mugo, David; Kenduiywo, Benson; Chebet, Edna (2021), “JMuBEN2”, Mendeley Data, V1, doi: 10.17632/tgv3zb82nd.1