Spatio-TEmporal Linked data tools for the AgRi-food data space
Funding Program:
Horizon Europe
Call:
HORIZON-CL4-2021-DATA-01-03
GA No.:
101070122
Duration:
2022-2025
EC Funding:
€ 5.678.325.00
A Knowledge Lake Management System For The Agrifood Data Space
The agrifood sector is filled with vast amounts of data, but its true value is often unused. The challenge lies in the difficulty of accessing and using this data, as it is spread across different formats and locations. The lack of efficient search tools limits the potential of AI and machine learning to drive real innovation and improve agricultural practices.
STELAR, a 3-year Horizon Europe project, addresses these challenges by developing a Knowledge Lake Management System (KLMS) that empowers users with easy-to-find, accessible, reusable, interoperable, high-quality, and reliably labelled data to meet the sector’s needs.
The platform will also enable the publication and discovery of metadata about agrifood datasets, linking them with data processing workflows for AI and machine learning applications. Additionally, STELAR is advancing tools for extracting structured information from food safety reports and integrating satellite and field sensor data to improve crop classification, yield prediction, and suitability mapping.
Our role in the project
As Dissemination, Exploitation, and Communication (DEC) leaders, we:
- Set up a clear and strategic Dissemination, Exploitation, and Communication (DEC) Plan.
- Build a strong visual identity and communication strategy for smooth stakeholder engagement.
- Document a set of diverse use cases and extract requirements to elaborate on the KPIs for evaluating the KLMS during the pilots.
- Conduct pilot specification and preparation activities.
- Build synergies with European industrial associations, DIHs, data exchange initiatives, and movements to amplify growth opportunities.
- Craft a roadmap for market uptake and sustainability of our results.
STELAR by numbers
- 9 partners from
- 5 European countries
- 3 pilots conducted, covering: (1) Risk prevention in food supply lines, (2) Early crop growth predictions, (3) Timely precision farming interventions
- 10+ Data Management Tools offering novel functionalities for: (a) data discovery and quality management; (b) data linking and alignment; (c) data annotation and synthetic data generation
- 20+ partnerships with European industrial associations, DIHs, and data exchange initiatives