- Funding Program: Horizon Europe
- Call: HORIZON-CL4-2021-DATA-01-03
- GA No.: 101070122
- Duration: September 2022 - August 2025
STELAR is a Horizon Europe project that advances data management and interoperability for agriculture and food systems by transforming traditional data lakes into intelligent Knowledge Lake Management Systems (KLMS). Through semantic technologies, artificial intelligence, and FAIR data principles, STELAR enables more efficient data discovery, integration, and analysis, supporting data-driven decision-making across the agri-food sector.
- Creating Impact Together
STELAR and CrackSense share a common goal of accelerating the digital transformation of agriculture through advanced data and sensing technologies. While STELAR focuses on intelligent data management, semantic interoperability, and AI-powered knowledge extraction, CrackSense develops real-time sensing technologies for monitoring and predicting fruit cracking in orchards and vineyards. Together, the projects demonstrate how combining high-quality data management with sensor-driven field intelligence can support more informed decision-making, precision agriculture, and sustainable crop production. Through joint events, webinars, and communication activities, both projects promote knowledge exchange and increase the visibility and adoption of digital innovation in agriculture.
- Joint Activities
International Agricultural Fair, Novi Sad (2023–2025)
CrackSense and STELAR jointly participated in the 90th, 91st, and 92nd International Agricultural Fair in Novi Sad over three consecutive years, engaging with farmers, researchers, industry representatives, and the wider agricultural community. Throughout this period, the projects showcased complementary approaches to digital agriculture, with STELAR highlighting intelligent data management, semantic interoperability, and AI-powered knowledge extraction, while CrackSense demonstrated advanced sensing technologies for monitoring and predicting fruit cracking in orchards and vineyards. Through interactive activities and direct engagement with visitors, both projects promoted Horizon Europe research and the role of digital technologies in supporting more sustainable and data-driven agriculture.
- Emerging Food Safety Issues and Food Security: Versatile Approaches
CrackSense and STELAR contributed expert presentations to the “Emerging Food Safety Issues and Food Security: Versatile Approaches” webinar organised by the RefreSCAR project for members of the SCAR Working Groups.
The webinar brought together researchers working on food safety, climate resilience, and digital agriculture. STELAR presented its AI-driven approach for detecting food safety risks through semantic analysis and named entity recognition, while CrackSense shared insights into the impacts of climate change on fruit production and demonstrated how sensing technologies and artificial intelligence can support smarter farming practices and risk management.
Watch the webinar to learn more!
- From Orchards to Orbits: Sensing Strategies in Agriculture
In July 2025, STELAR and CrackSense co-hosted the webinar “From Orchards to Orbits: Sensing Strategies in Agriculture”, exploring how satellite observations and on-site sensing technologies complement one another in modern agriculture.
The webinar highlighted STELAR’s work with remote sensing and satellite-derived data alongside CrackSense’s sensor-based monitoring technologies for orchards. Through real-world examples and a live discussion with project experts, participants explored how combining multiple sources of data can improve crop monitoring, resource management, and precision agriculture.
The recording is available!
- Data Stories 360° Podcast: Precision Farming Adoption
As part of STELAR’s Data Stories 360° podcast series, Professor Spyros Fountas from the Agricultural University of Athens and a member of the CrackSense consortium shared his expertise on precision farming adoption and the role of digital technologies in modern agriculture. The conversation explored the importance of high-quality agricultural data, artificial intelligence, farmer education, and technology adoption, while highlighting how data-driven approaches can improve the management of high-value crops. The episode also demonstrated the complementary strengths of STELAR’s work on intelligent data management and semantic interoperability and CrackSense’s expertise in precision agriculture and sensor-based decision support, reinforcing the shared vision of advancing digital innovation in agriculture.
Listen to the episode!
- Knowledge Exchange Through Expert Insights
As part of the collaboration between STELAR and CrackSense, STELAR republished an interview originally conducted by the CrackSense project with Dušan Pavlović, a data scientist specialising in artificial intelligence, machine learning, and speech recognition. The interview explored pattern recognition, explainable AI, and machine learning methodologies, highlighting how these approaches can support informed decision-making across a range of domains, including agriculture. By sharing expert perspectives relevant to both projects, the collaboration fostered knowledge exchange and demonstrated the broad applicability of AI and data-driven technologies in advancing digital innovation for the agri-food sector.
