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HORIZON-CL6-2027-02-FARM2FORK-08 funds the construction of AI pipelines to characterise the foodome, meaning the comprehensive composition and structure of foods, and to link that data to health-relevant outcomes.
It is one of the most distinctive AI and food systems topics in the Horizon Europe 2026 to 2027 work programme because it sits precisely at the junction of food science, nutrition epidemiology and machine learning, a space where the data has historically been too sparse, too heterogeneous and too poorly harmonised for AI methods to add much.
The premise of the topic is that this is now tractable: that high-throughput analytical chemistry, food composition databases, dietary intake records and cohort health data can be brought together under AI pipelines capable of characterising foods at a level of detail that conventional nutrient tables cannot reach, and then of connecting that characterisation to health outcomes.
The topic is an Innovation Action, which signals that the Commission expects deployable pipelines and usable data resources rather than a methodological exploration. Approximately 8 million euros is budgeted and around one project is expected, making this a winner-takes-all topic where consortium breadth across analytical platforms, cohort access and modelling capability is likely to be decisive.
Work programme versions list the deadline variously as 9 March 2027 and as 23 September 2027 following an opening on 20 April 2027, so applicants must confirm the live date on the EU Funding and Tenders Portal rather than relying on secondary summaries.
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Or search similar grants →According to the current listing, eligibility includes: Standard Horizon Europe consortium rules apply: at least three independent legal entities from three different EU Member States or associated countries, with at least one established in a Member State. Beyond that, the substantive requirement is capability breadth. Foodome characterisation at the scale implied by an 8 million euro single-project topic requires analytical chemistry and food composition platforms, access to dietary intake and cohort health data under appropriate legal bases, and machine learning capacity, and a consortium missing any one of those three legs is unlikely to be competitive. Applicants holding cohort or biobank data should resolve the General Data Protection Regulation and data access position early, since health outcome linkage is the element most likely to generate legal delay. As an Innovation Action the topic expects deployable pipelines and shared data resources rather than exploratory research, and funding rates are 70 percent of eligible costs for profit-making entities and 100 percent for non-profit legal entities, which has direct consequences for food industry participation. Consortia should expect to commit to FAIR and interoperable publication of the resulting food characterisation data, consistent with the wider Cluster 6 emphasis on reusable data outputs. Because approximately one project is expected to be funded, applicants should weigh the cost of preparation against a low success probability and consider early coordination with potential competitors. Published deadline information is inconsistent across work programme versions, with 9 March 2027 and 23 September 2027 both appearing; the EU Funding and Tenders Portal is the authoritative source and should be checked before committing resources. Confirm the full requirements in the official notice before applying.
The current listing shows the topic carries a budget of approximately 8.00 million euros with around one project expected to be funded, so the per-project EU contribution is effectively the whole topic budget. At roughly 1.17 US dollars to the euro this is about 9,360,000 US dollars, and amount_min and amount_max are both recorded as 9,360,000 US dollars since a single project is expected. Other versions of the work programme list the figure as 7.8 million euros, a difference of around 200,000 euros that reflects successive drafts, so applicants should confirm the final budget on the EU Funding and Tenders Portal before building a work plan. A single-project topic changes the strategic calculus substantially. There is no second place: a consortium either wins the topic or receives nothing, which rewards building the largest credible consortium rather than a lean one, and it makes early intelligence about competing consortia unusually valuable. Eight million euros for one project is also a large envelope by Cluster 6 standards and is enough to support genuine multi-country analytical chemistry work, cohort data linkage and model development simultaneously, which is what foodome characterisation requires. As an Innovation Action the funding rate is 70 percent of eligible costs for profit-making participants and 100 percent for non-profit legal entities, so a consortium weighted toward food industry partners will need co-funding and should model that before fixing the partner list. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for Horizon Europe HORIZON-CL6-2027-02-FARM2FORK-08: AI-Powered Foodome Characterisation Linking Food Composition Data to Health Outcomes are due September 23, 2027. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Horizon Europe HORIZON-CL6-2027-02-FARM2FORK-08: AI-Powered Foodome Characterisation Linking Food Composition Data to Health Outcomes is funded by European Commission, Horizon Europe Cluster 6 (Food, Bioeconomy, Natural Resources, Agriculture and Environment). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
HORIZON-CL6-2027-03-GOVERNANCE-04 funds AI-based advisory tools for farmers and foresters, and the Commission's framing is deliberately unforgiving: the tools must be ready for deployment and proven to work better than currently available versions. This is an Innovation Action requiring technology readiness level 8 by project completion, not a research topic, and proposals built around novel method development rather than validated deployment will not fit. The technical scope named in the topic reads as a specification for a modern agricultural advisory system: integration of multiple data sources including public databases, in-situ data and private sources; multimodal input processing across text, images, audio and video; retrieval-augmented generation methodologies; and privacy protection techniques to handle commercially sensitive farm data. Alongside the technology, the topic mandates co-development with end users across diverse European farming systems, publication of curated, interoperable and FAIR-compliant datasets, and substantive social sciences and humanities contributions covering legal, gender and behavioural expertise. Expected outcomes are improved farm and forest management decisions, enhanced user AI literacy and advisory solutions validated in the field by advisors, farmers and foresters across Europe. The multi-actor approach is a mandatory eligibility criterion and proposals that do not demonstrate it are ineligible rather than merely weaker. Two projects are expected from an indicative budget of 11.80 million euros. The topic opens 4 February 2027 with a single-stage deadline of 11 May 2027 at 17:00 Brussels time.
HORIZON-CL6-2027-02-FARM2FORK-01 funds digital and AI solutions that help farmers adapt to water and nutrient scarcity, integrating precision agriculture, artificial intelligence, sensors and decision-support systems to optimise irrigation and nutrient management, improve productivity, strengthen climate resilience and reduce environmental impacts. It is a Research and Innovation Action with a total budget of 12 million euros, an expected 6 million euros per project and two projects anticipated, opening 20 April 2027 with a deadline of 23 September 2027. The topic sits squarely at the intersection of the AI agriculture and AI climate adaptation agendas, which makes it a useful target for groups that find themselves falling between agricultural and environmental funding streams. Water and nutrient scarcity is the dominant medium-term constraint on European agricultural productivity, particularly across the Mediterranean basin, and the topic's logic is that the gains now available come less from new sensing hardware than from the decision layer: turning heterogeneous soil, weather, crop and water availability data into irrigation and fertilisation decisions that a farmer can act on under genuine scarcity. For precision agriculture groups the attractive feature relative to the Innovation Action topics in the same call is the 100 percent funding rate for all participants and the lower technology readiness expectation, which together make it feasible to propose genuine methodological work rather than only deployment of existing commercial tools.
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