Merging data & doing more with less
Combining in-situ measurements with satellite observations is at the heart of modern agricultural innovation. While satellites provide consistent, large-scale monitoring of land and crop conditions, in-situ data offer the local accuracy needed to interpret and validate these observations. Integrating both data sources allows us to bridge the gap between field-level insights and regional analyses, resulting in more reliable models, improved decision support, and ultimately, smarter and more sustainable farming practices.
Data Integration Methodologies play a central role.
We discuss 2 complementary approaches developed within ScaleAgData:
- The DHI Data Integration Framework, focusing on integrating in-situ and satellite observations for accurate mapping of agri-environmental variables
- VITO's capabilities in Few-Shot Learning (FSL), a flexible AI method that learns efficiently from limited labelled data.
In this 6th ScaleAgData Newsletter:
- Innovation area 7: Data Integration Methodologies
- Recent News
- Upcoming events