Imagine if every farm had a few smart thermometers and moisture sensors, but no one knew how to combine that info with big satellite pictures. This project builds a bridge between those tiny ground sensors and space views to get a clear picture of how crops are doing across whole regions. It's like turning a few scattered puzzle pieces into a complete map for farmers and policymakers.
Farmers and policymakers lack detailed, local-level data to make sustainable decisions. While sensors exist, their data is rarely combined with satellite imagery at a regional scale.
A generic data architecture, edge processing tools, and data-based farming services. These were tested across 6 thematic labs covering soil, water, and crop management.
If you are a precision farming equipment provider dealing with fragmented data from different sensors — this project developed edge computing and data analytics that integrate ground data with satellite imagery. This allows you to offer regional monitoring services instead of just single-field reports.
If you are an insurance provider dealing with inaccurate crop yield estimates — this project developed a yield monitoring and soil health system tested in 6 labs. This provides a more reliable data source for risk assessment and payout validation.
If you are a government agency dealing with a lack of local reference data for Green Deal targets — this project developed a data governance model and regional monitoring datasets. This enables precise tracking of water productivity and soil health across different territories.
Based on available project data, there is no specific pricing or cost information provided for the developed tools.
Yes, the project specifically focuses on upscaling sensor data to regional monitoring datasets and testing these in 6 different Research and Innovation Labs across Europe.
Based on available project data, the project has finalized a management plan for legal and ethical issues, but specific licensing terms are not listed.
The system integrates sensor data with Copernicus satellite data and provides analysis-ready Earth Observation data to the operational environment.
The project runs from 2023-01-01 to 2026-12-31, with the first iteration of technology validation already completed by month 18.
The consortium is heavily weighted toward industrial application, with 13 industry partners representing a 46% industry ratio. With 28 partners across 13 countries, the project has strong cross-border validation capabilities, combining 11 research organizations and 2 universities to ensure the technical tools are grounded in academic rigor while remaining commercially viable.
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Contact us to explore integration of these regional monitoring tools into your agri-tech stack.
