GeoAI in resource-constrained environments
<|reference_start|>GeoAI in resource-constrained environments: This paper describes spatially aware Artificial Intelligence, GeoAI, tailored for small organizations such as NGOs in resource constrained contexts where access to large datasets, expensive compute infrastructure and AI expertise may be restricted. We furthermore consider future scenarios in which resource-intensive, large geospatial models may homogenize the representation of complex landscapes, and suggest strategies to prepare for this condition.<|reference_end|>
@article{böhlen2024geoai,
    title={GeoAI in resource-constrained environments},
    author={Marc B"ohlen, Gede Sughiarta, Atiek Kurnianingsih, Srikar Reddy
  Gopaladinne, Sujay Shrivastava, Hemanth Kumar Reddy Gorla},
    journal={arXiv preprint arXiv:2408.17361},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.17361},
    primaryClass={cs.CY}
}