Project Details
Description
AgriScienceFM develops and openly shares AI Foundation Models tailored to agriculture as a complex, multimodal domain. These models will automate common agricultural research and analysis tasks — similar to how tools like ChatGPT support text generation — enabling advanced data processing, statistical analysis, and insight generation across the agricultural sector.
The project focuses on four application areas:
- Crop and water monitoring from space
- Farmer advice on soil health
- Phenotyping and breeding for climate-resilient crops
- Precision crop and livestock farming for pest and disease management
In addition, AgriScienceFM emphasizes networking, knowledge dissemination, and broad community access to the developed AI models, including uptake by private-sector users.
| Status | Active |
|---|---|
| Effective start/end date | 1/01/26 → 31/12/26 |
LVVN programmes
- Kennisbasis onderzoek (KB)