Project-AgML/MH_SoyaHealthVision_disease_classification_leaf

MH SoyaHealthVision Disease Classification Leaf

A dataset for disease classification of soybean leaves. The dataset contains 2,782 images across 6 classes: Caterpillar_Semilooper_Pest, Frog_Leaf_Eye, Healthy, Mosaic, Rust, Spectoria_Brown_Spot.
Images per class:

• Caterpillar_Semilooper_Pest: 582
• Frog_Leaf_Eye: 169
• Healthy: 204
• Mosaic: 707
• Rust: 852
• Spectoria_Brown_Spot: 268

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

Citation

@article{shinde2025indian,
  title={An Indian UAV and leaf image dataset for integrated crop health assessment of soybean crop},
  author={Shinde, Sayali and Attar, Vahida},
  journal={Data in Brief},
  volume={60},
  pages={111517},
  year={2025},
  publisher={Elsevier}
}

Shinde, Sayali; Attar, Dr.Vahida; Technological University,Pune, COEP ; Technology Innovation Hub, Indian Statistical Institute Kolkata, IDEAS (2024), “MH-SoyaHealthVision: An Indian UAV and Leaf Image Dataset for Integrated Crop Health Assessment”, Mendeley Data, V1, doi: 10.17632/hkbgh5s3b7.1