Project-AgML/money_plant_disease_classification

Money Plant Disease Classification

A dataset for disease classification of Money Plant. The dataset contains 1,872 images across 3 classes: Bacterial wilt disease, Healthy, Manganese Toxicity.
Images per class:

• Bacterial wilt disease: 576
• Healthy: 700
• Manganese Toxicity: 596

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

Citation

@article{ali2025money,
  title={Money plant disease atlas: A comprehensive dataset for disease classification in ornamental horticulture},
  author={ali Biswas, Md Seyam and Ahmad, MD Hasan and Bormon, Sajib and Sohag, Sohanur Rahman and Akhi, Amatul Bushra and others},
  journal={Data in Brief},
  volume={58},
  pages={111216},
  year={2025},
  publisher={Elsevier}
}

Ahmad, MD Hasan (2024), “Advanced Dataset on Money Plant Diseases for AI Pathology Research”, Mendeley Data, V3, doi: 10.17632/rzjww3vdxt.3