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Project-AgML/lemongrass_disease_classification

Lemongrass Disease Classification A dataset for disease classification of Lemongrass leaves. The dataset contains 10,042 images across 3 classes: Dried, Healthy, Unhealthy.Images per class: Dried: 2,968 Healthy: 3,252 Unhealthy: 3,822 This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. Citation @article{patil2024comprehensive, title={A comprehensive lemongrass (Cymbopogon citratus) leaf dataset for agricultural… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/lemongrass_disease_classification.

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Lemongrass Disease Classification

A dataset for disease classification of Lemongrass leaves. The dataset contains 10,042 images across 3 classes: Dried, Healthy, Unhealthy. Images per class:

—Dried: 2,968
—Healthy: 3,252
—Unhealthy: 3,822

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

Citation

bibtex

@article{patil2024comprehensive,
  title={A comprehensive lemongrass (Cymbopogon citratus) leaf dataset for agricultural research and disease prevention},
  author={Patil, Kailas and Suryawanshi, Yogesh and Patrawala, Alimurtuza and Chumchu, Prawit},
  journal={Data in brief},
  volume={53},
  pages={110104},
  year={2024},
  publisher={Elsevier}
}

Patrawala, Alimurtuza; Suryawanshi, Yogesh; PATIL, Kailas (2023), “Lemongrass Leaf Image Dataset: Mobile-Photographed Image Compilation”, Mendeley Data, V1, doi: 10.17632/9tnbjsj6kn.1