Collaboration for HORIZON-CL6-2027-03-GOVERNANCE-04

As Doğuş Teknoloji, we can develop a GenAI-powered advisory assistant designed to support farmers, foresters, and agricultural advisors with context-specific, up-to-date, and impartial guidance. Leveraging Retrieval-Augmented Generation (RAG) techniques, the solution will retrieve and interpret information from authoritative sources such as official agricultural portals, regulatory databases, and market intelligence platforms. This approach will enable the assistant to provide accurate insights on evolving regulations, legislative requirements, and best practices, thereby enhancing decision-making processes. Furthermore, curated datasets will be generated by aggregating and standardizing data from public and private sources, applying privacy-preserving techniques where necessary, and ensuring interoperability for future reuse.

We can satisfy the below scope/outcomes of the call:

- Proposals are encouraged to explore the application of data retrieval techniques (e.g. RAG) for the retrieval of up-to-date and context-specific information from external knowledge sources (e.g. market information, evolving regulation/legislative requirements)