If you are a technology provider dealing with fragmented data silos across different farms — this project developed a Reference Architecture for an agricultural data space ecosystem that allows for better data integration and knowledge extraction.
Secure Data Sharing Ecosystem to Increase Profitability in the Agricultural Supply Chain
Imagine if every part of the food chain—from the farmer to the store—kept their data in separate locked boxes. This project builds a shared digital key and a safe meeting room where everyone can exchange information without losing control of their secrets. It helps everyone see the big picture to make better decisions and reduce waste.
What needed solving
Agricultural data is currently trapped in silos, meaning each party in the supply chain starts from scratch when trying to share information. This lack of a standard system prevents the creation of a data economy and limits efficiency.
What was built
A Reference Architecture for an agricultural data space ecosystem including software modules for data transparency, traceability, and adaptive dashboards. The project also delivered 4 validated pilots.
Who needs this
Who can put this to work
If you are an advisory service dealing with a lack of real-time data from the field — this project developed transparent decision making support and adaptive dashboards that provide better insights for farmers.
If you are a processor dealing with unpredictable supply chain transparency — this project developed tools for data traceability and usage monitoring to demonstrate the added value of sharing data along the chain.
Quick answers
What is the cost or pricing for using this system?
Based on available project data, no specific pricing or cost models are mentioned; the project focuses on demonstrating the cost-benefit and added value of data sharing.
Can this be scaled to an industrial level?
The project is designed to build a mature data market for European and global agriculture through the use of 4 industry-led pilots.
How is the IP and licensing handled?
Based on available project data, specific licensing terms are not listed, but the project emphasizes data sovereignty and protection within its architecture.
How does this integrate with existing farm software?
The system includes an Agricultural Information Model+ (AIM+) and interoperability support to incorporate existing common agri-data spaces.
What regulations does this follow?
The project includes a review of agri-data space elements, including related policies and regulatory frameworks currently in place.
Who built it
The consortium is heavily weighted toward research and academia, with 8 research organizations and 2 universities. However, there is a significant industrial presence with 4 industry partners and 5 SMEs, resulting in a 27% industry ratio, which ensures the technical tools are grounded in commercial reality.
Contact EREVNITIKO PANEPISTIMIAKO INSTITOUTO SYSTIMATON EPIKOINONION KAI YPOLOGISTON in Greece
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Contact us to explore the DIVINE Reference Architecture for your agri-data strategy.