Project-AgML/soybean_variety_classification

Soybean Variety Classification

A dataset for variety classification of Soybean seeds. The dataset contains 12,683 images across 3 classes: Anjasmoro, Dega, Grobogan.
Images per class:

• Anjasmoro: 3,493
• Dega: 4,490
• Grobogan: 4,700

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

Citation

@article{hanafiah2026open,
  title={An Open Image Dataset of Indonesian Soybean Seed Varieties (Anjasmoro, Grobogan, DEGA-1) for Agricultural Research and Machine Learning Applications},
  author={Hanafiah, Diana Sofia and Alfi, Rahmatika and Lestami, Anggria and Purnamasari, Fanindia and Nurhasanah, Rossy and Syahraza, Muhammad Ariyo and Saputra, Muhammad Azis and Pane, Usman Ismail and Manurung, Steven and Buntoro, Yunus Tio and others},
  journal={Data in Brief},
  pages={112524},
  year={2026},
  publisher={Elsevier}
}

Syahraza, Muhammad Ariyo; Hanafiah, Diana Sofia ; Purnamasari, Fanindia; Nurhasanah, Rossy (2025), “Image Dataset of Local Indonesian Soybean Seed Varieties (Anjasmoro, Grobogan, and DEGA-1)”, Mendeley Data, V3, doi: 10.17632/c733bjz4m3.3