---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': Dried
          '1': Healthy
          '2': Unhealthy
  splits:
  - name: train
    num_bytes: 2370443575
    num_examples: 10042
  download_size: 2060238079
  dataset_size: 2370443575
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 10K<n<100K
---

# 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