Taylor Geospatial launched the Geospatial Innovation for Food Security (GIFS) Challenge to promote advanced research in three critical food systems problem spaces: enabling agri-food supply chain resilience, informing crop shifting, and increasing nitrogen use efficiency.
We are proud to support a strong cohort of projects developing new methods and tools and sharing their outcomes and learnings with the community. Project pages will be updated regularly as research progresses. Check back for updates on new data, models, code, and research outcomes.
Key project characteristics
- Actively engage with the ongoing emergence of geospatial artificial intelligence (GeoAI) and its
implications for geospatial technologies, methods, and models. - Advance geospatial technologies, methods and models at Technology Readiness Levels (TRLs) 3-7.
- Do not rely on proprietary data or proprietary software for essential capabilities.
- Teams must combine technological and methodological innovation with domain expertise and
practical knowledge of the challenges of implementing new ways of working in food and agriculture. - Teams must include at least one research and one implementing partner organization.
These requirements reflect Taylor Geospatial’s priorities to:
Bridge the gap between breakthrough academic research and real-world industry deployment to
accelerate the transition from idea to impact.
Build an ecosystem to democratize access to global scale labels, models, embeddings, and datasets
that enable researchers, entrepreneurs, companies, and governments to create geospatial insights
and accelerate pathways to impact.