Fields of the World: A Machine Learning Benchmark Dataset for Global Agricultural Field Boundary Segmentation

Hannah Kerner, Snehal Chaudhari, Aninda Ghosh, Caleb Robinson, Adeel Ahmad, Eddie Choi, Nathan Jacobs, Chris Holmes, Matthias Mohr, Rahul Dodhia, Juan M. Lavista Ferres, Jennifer Marcus

AAAI 2025 pp. 28151-28159

doi:10.1609/AAAI.V39I27.35034 /aaai/2025/kerner2025aaai-fields/

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Cite

Text

Kerner et al. "Fields of the World: A Machine Learning Benchmark Dataset for Global Agricultural Field Boundary Segmentation." AAAI Conference on Artificial Intelligence, 2025. doi:10.1609/AAAI.V39I27.35034

Markdown

[Kerner et al. "Fields of the World: A Machine Learning Benchmark Dataset for Global Agricultural Field Boundary Segmentation." AAAI Conference on Artificial Intelligence, 2025.](https://mlanthology.org/aaai/2025/kerner2025aaai-fields/) doi:10.1609/AAAI.V39I27.35034

BibTeX

@inproceedings{kerner2025aaai-fields,
  title     = {{Fields of the World: A Machine Learning Benchmark Dataset for Global Agricultural Field Boundary Segmentation}},
  author    = {Kerner, Hannah and Chaudhari, Snehal and Ghosh, Aninda and Robinson, Caleb and Ahmad, Adeel and Choi, Eddie and Jacobs, Nathan and Holmes, Chris and Mohr, Matthias and Dodhia, Rahul and Ferres, Juan M. Lavista and Marcus, Jennifer},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2025},
  pages     = {28151-28159},
  doi       = {10.1609/AAAI.V39I27.35034},
  url       = {https://mlanthology.org/aaai/2025/kerner2025aaai-fields/}
}