Towards smarter and better agriculture: STELAR consortium meets at CODE

The STELAR consortium held one of its last meetings at the beginning of June, this time at the Cyber Defense and Smart Data Research Institute (RI CODE) of the University of the Bundeswehr Munich (UniBw M). Before the project ends in June 2025, the meeting was intended to provide a platform for evaluating STELAR's progress and interim results. In addition to the Knowledge Lake Management System (KLMS), the focus was also on the Knowledge Graph, which is being developed as part of the EU-funded research project.

^{The consortium held intensive technical discussions in which it addressed the challenges of integrating the AI tools that have been developed. (Photo: RI CODE)}

A central topic of the meeting was the integration of the AI tools developed in the STELAR project into the KLMS framework. The tools were developed with the aim of improving interoperability and intelligent data processing in the following areas:

• Data profiling and summarization
• Schema and entity matching
• Labeling and merging of Earth observation data
• Completion of time series
• Correlation discovery
• Text mining and annotation
• Bias detection
• Synthetic data generation

In addition, three specific pilot applications were presented during the meeting, demonstrating the practical significance of the project:

1. Risk prevention in food supply chains
2. Early prediction of plant growth and
3. Interventions in precision agriculture
   
   

These pilot applications reflect STELAR's commitment to supporting sustainable agriculture and food systems through data-driven solutions.

More information about the STELAR project and its results: https://stelar-project.eu

^{This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No. 101070122.}