Datasets:

Project-AgML
/

date_palm_leaf_disease_classification

configs:
  - config_name: default
    default: true
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': Black Scorch
              '1': Fusarium Wilt
              '2': Healthy sample
              '3': Leaf Spots
              '4': Magnesium Deficiency
              '5': Manganese Deficiency
              '6': Parlatoria Blanchardi
              '7': Potassium Deficiency
              '8': Rachis Blight
license: cc-by-4.0
task_categories:
  - image-classification
size_categories:
  - 1K<n<10K

Date Palm Leaf Disease Classification

A dataset for image classification of Date Palm Leaf Disease Classification. The dataset contains 3,089 images across 9 classes: Black Scorch, Fusarium Wilt, Healthy sample, Leaf Spots, Magnesium Deficiency, Manganese Deficiency, Parlatoria Blanchardi, Potassium Deficiency, Rachis Blight. Images per class:

Black Scorch: 106
Fusarium Wilt: 210
Healthy sample: 389
Leaf Spots: 69
Magnesium Deficiency: 566
Manganese Deficiency: 415
Parlatoria Blanchardi: 101
Potassium Deficiency: 831
Rachis Blight: 402

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

Citation

@article{namoun2024dataset,
  title={Dataset of infected date palm leaves for palm tree disease detection and classification},
  author={Namoun, Abdallah and Alkhodre, Ahmad B and Abi Sen, Adnan Ahmad and Alsaawy, Yazed and Almoamari, Hani},
  journal={Data in brief},
  volume={57},
  pages={110933},
  year={2024},
  publisher={Elsevier}
}

Namoun, Abdallah; Alkhodre, Ahmad B.; Abi Sen, Adnan Ahmad ; Alsaawy, Yazed; Almoamari, Hani (2024), “Diseases of date palm leaves dataset”, Mendeley Data, V2, doi: 10.17632/g684ghfxvg.2