SOURCE-LINKED INTELLIGENCE
An integrated toolbox for improved verification and prevention of adulterations and non-compliances in organic and geographical indications food supply chain
ed approach consists of : i) low-cost, digital and scalable solutions that rely on Earth Observation, photonics, Internet of Things and DNA authenticity methods being coupled with advanced analytics, machine learning and artificial intelligence in order to ensure efficient detection of fraudulent cases as well as monitoring of associated quality and sustainability elements ii) blockchain enhanced traceability system and dynamic digital product passport for improved traceability, security and transparent data governance iii) platforms and algorithms allowing management and harmonisation of heterogenous data as well as their consolidation for the verification and validation of transactions across the supply chain iv) interfaces to facilitate monitoring and inspections by competent authorities, informed decision making by supply chain actors and policy makers as well as business model driven approaches to support short supply chains of quality labelled food products. THEROS toolbox components will be extensively evaluated in real life settings through four pilot demonstrations in four
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 3999691
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T00:21:03.701Z. This is not the publication date.