Objective
Sensor4Food (S4F) accelerates the digital transformation of Europe’s largest meat category—poultry. The industry produces ~14.4 Mt annually, feeds ~300 million consumers, and provides millions of jobs directly and indirectly. Today, critical control points (mycotoxins, pathogens/antibiotics, welfare-in-transit and rearing, meat defects, side-streams, traceability) are slow, lab-bound, and fragmented. S4F will integrate advanced photonic sensing with multimodal, edge-to-cloud AI and validate the stack end-to-end in industrial pilots spanning feed reception to processing and valorisation.
S4F matures five complementary photonic techniques (MIR for mycotoxins, MIR for process analytics, silicon-photonics biosensing for pathogens, VIS–NIR–SWIR hyperspectral imaging, and RF+ultrasound for myopathies) to TRL 7, linking them with non-optical signals, and deploying a standards-ready traceability layer (pilot for “poultry passport”) aligned with GS1/EPCIS and ISO 22005. The architecture emphasises EU open strategic autonomy (EU-anchored IP, manufacturing and integration), interoperability, and resource-efficient hardware.
Across six use cases (feed safety, biosafety, animal safety and welfare, meat quality, side streams valorisation, and traceability) S4F targets measurable gains, improving time-to-detection, field accuracy, in side-stream valorisation, and traceability. Rigorous experimental design, common KPIs, and cross-site transfer tests ensure credible evidence and replicability.
By delivering deployable sensors, explainable AI, and a reusable data/interop blueprint, S4F will (i) increase efficiency (speed/energy/accuracy) while reducing size/weight/power, (ii) de-risk uptake for SMEs and large processors, and (iii) provide a transferable model for adjacent chains (pork, dairy, aquaculture) and Digital Europe assets (data spaces, edge–cloud orchestration)—strengthening EU competitiveness and resilience in agri-food.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- agricultural sciences agriculture, forestry, and fisheries fisheries
- agricultural sciences animal and dairy science dairy
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.2.4 - Digital, Industry and Space
MAIN PROGRAMME
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HORIZON.2.4.2 - Key Digital Technologies
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-IA - HORIZON Innovation Actions
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-CL4-2025-04
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
20520 Turku
Finland
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Participants (20)
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46022 Valencia
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1433 As
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T12 P928 Cork
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7000 Mons
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24 100 Pulawy
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2643 NICOSIA
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23801 Calolziocorte
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08940 Cornella de Llobregat
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47522 Cesena
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
47521 CESENA
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5250 SOLKAN
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31500 Tudela
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47020 San Vittore Di Cesena
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1878 HAERLAND
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0191 Oslo
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1050 Bruxelles / Brussel
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28030 Madrid
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46100 Mantova
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21500 Piikkiö
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28006 Madrid
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