Project-AgML/custard_apple_disease_classification

Custard Apple Disease Classification

A dataset for disease classification of custard apples. The dataset contains 8,226 images across 6 classes: Athracnose, Blank Canker, Diplodia Rot, Leaf spot on Leaves, Leaf spot on fruit, Mealy Bug.
Images per class:

• Athracnose: 1,075
• Blank Canker: 1,780
• Diplodia Rot: 1,645
• Leaf spot on Leaves: 1,255
• Leaf spot on fruit: 867
• Mealy Bug: 1,604

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

Citation

@article{thite2024empowering,
  title={Empowering agricultural research: a comprehensive custard apple (Annona squamosa) disease dataset for precise detection},
  author={Thite, Sandip and Patil, Kailas and Jadhav, Rohini and Suryawanshi, Yogesh and Chumchu, Prawit},
  journal={Data in Brief},
  volume={53},
  pages={110078},
  year={2024},
  publisher={Elsevier}
}

Thite, Sandip; Suryawanshi, Yogesh; PATIL, Kailas (2023), “Sugar Apples / Custard Apples (Annona squamosa) Disease Image Dataset”, Mendeley Data, V2, doi: 10.17632/jtgh2885yf.2