Project-AgML/coconut_tree_disease_classification

Coconut Tree Disease Classification

A dataset for disease classification of coconut trees. The dataset contains 5,798 images across 5 classes: Bud_Root_Dropping, Bud_Rot, Gray_Leaf_Spot, Leaf_Rot, Stem_Bleeding.
Images per class:

• Bud_Root_Dropping: 514
• Bud_Rot: 470
• Gray_Leaf_Spot: 2,135
• Leaf_Rot: 1,673
• Stem_Bleeding: 1,006

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

Citation

@article{thite2023coconut,
  title={Coconut (Cocos nucifera) tree disease dataset: A dataset for disease detection and classification for machine learning applications},
  author={Thite, Sandip and Suryawanshi, Yogesh and Patil, Kailas and Chumchu, Prawit},
  journal={Data in Brief},
  volume={51},
  pages={109690},
  year={2023},
  publisher={Elsevier}
}

PATIL, Kailas; Thite, Sandip; Suryawanshi, Yogesh; chumchu, prawit (2023), “Coconut Tree Disease Dataset”, Mendeley Data, V1, doi: 10.17632/gh56wbsnj5.1