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Project-AgML/java_plum_leaf_disease_classification

Java Plum Leaf Disease Classification A dataset for disease classification of Java Plum leaves. The dataset contains 2,400 images across 6 classes: Bacterial_Spot, Brown_Blight, Dry, Healthy, Powdery_Mildew, Sooty_Mold.Images per class: Bacterial_Spot: 400 Brown_Blight: 400 Dry: 400 Healthy: 400 Powdery_Mildew: 400 Sooty_Mold: 400 This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. Citation… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/java_plum_leaf_disease_classification.

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Java Plum Leaf Disease Classification

A dataset for disease classification of Java Plum leaves. The dataset contains 2,400 images across 6 classes: BacterialSpot, BrownBlight, Dry, Healthy, PowderyMildew, SootyMold. Images per class:

—Bacterial_Spot: 400
—Brown_Blight: 400
—Dry: 400
—Healthy: 400
—Powdery_Mildew: 400
—Sooty_Mold: 400

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

Citation

bibtex

@article{bhowmik2024customised,
  title={A customised Vision Transformer for accurate detection and classification of Java Plum leaf disease},
  author={Bhowmik, Auvick Chandra and Ahad, Md Taimur and Emon, Yousuf Rayhan and Ahmed, Faruk and Song, Bo and Li, Yan},
  journal={Smart Agricultural Technology},
  volume={8},
  pages={100500},
  year={2024},
  publisher={Elsevier}
}

Bhowmik, Auvick Chandra; Ahad, Taimur (2024), “Java Plum Leaf Disease Dataset”, Mendeley Data, V3, doi: 10.17632/43d75vptz4.3