Project AURIONAI Use-Cases Research & Innovation
Agriculture

Land Use and Crop Mapping

Geospatial foundation models.

Named Models

Where this comes from
Models the research names for this use case. Research, with sources on each model record.

Who Runs It

research, 1
Badan Riset dan Inovasi Nasional (BRIN)BRIN Data Science and Information Research Center (PRSDI)Country: IndonesiaDecentralised AI framework with federated learning on optical and radar satellite imagery (NDVI, VV/VH) for rice growth stage monitoringVendor: BRINresearchDate10 Mar 2026In development; no results statedEvidence: government statementConfidence: mediumSource: rri.co.id
Where this comes from
Documented uses by named organisations. The evidence column says who made the claim.

Candidate Models

Where this comes from
Derived, not researched: models in the directory whose class matches a class this use case uses, excluding family records and models shut down or deprecated. Ranked by how many fit facts they meet, then by release date. Each fit fact is read from the model record.

Sources

  1. ibm-nasa-geospatial/Prithvi-EO-2.0-600M , Hugging Face huggingface.co https://huggingface.co/ibm-nasa-geospatial/Prithvi-EO-2.0-600M
  2. Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications arxiv.org https://arxiv.org/abs/2412.02732v2

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Land Use and Crop Mapping", https://aurion.semai.id/usecases/ag-crop-mapping/, records of October 2026.