AI supporting informed advice for farmers and foresters to improve competitiveness and sustainability
eu HORIZON-CL6-2027-03-GOVERNANCE-04 · Horizon Europe (HORIZON)
| Status | forthcoming |
|---|---|
| Opens | 04 Feb 2027 |
| Deadline | 11 May 2027 — 241 days |
| Action | HORIZON Innovation Actions |
| Official page | https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunit… |
| Fetched | 2026-09-11 04:00:47+00:00 |
You are reading one call. 1,383 are open right now.
A search matches words. It cannot know what your institution works on. Give the name and every open call is ranked against it — this one included.
Free · no account · nothing stored that identifies youScope
Expected Outcome: Project results are expected to contribute to all of the following expected outcomes: innovative AI-based solutions provide advisors, farmers and foresters with comprehensive, tailored and impartial advice to farmers and foresters to support them in their decisions as well as on the selection of innovative solutions, boosting the competitiveness, sustainability and resilience of the EU agriculture and forestry sectors; capacity and skills of advisors, farmers, and foresters related to the effective use of AI solutions are improved; use of existing and new data relevant for the decision-making for the optimized management of operations and the selection of innovative solutions on farms and in forests is increased. Scope: Digital technologies hold the potential to revolutionise farming and forestry, offering new opportunities to meet the rising demand for food, as well as biomass, while taking care of the environment, climate and people. With the growing availability of datasets relevant for both the agricultural and forestry sector, artificial intelligence technologies offer significant opportunities to harness data, enhance access to tailored information, and develop effective tools to support advisors, farmers and foresters in their operations. Successful proposals should contribute to build a competitive and resilient agriculture and forestry sectors. Proposals should: develop, test, validate and pilot cost-effective AI-based solutions that make use of the various existing reliable and trustable knowledge reservoirs and provide contextual, effective and impartial advice for advisors, farmers and foresters; capitalise on standardised and comprehensive data collected from different sources (e.g. public and private databases, in-situ data generated during the project implementation) for the development of AI-based solutions capable of providing advice based on the interpretation of multimodal inputs (e.g. text, images, audio, video etc…) provided by the end user. By doing so, successful proposals should ensure the availability of curated datasets by connecting to and harvesting data from existing public and private data sources, making use of privacy-preserving techniques when needed. The curated datasets, to be released as outputs, should be interoperable to maximise reuse, in order to support information fusion and third-party usage of the data; involve advisors, farmers and foresters from across Europe in the co-development, testing, validation and piloting of the AI-based solutions; and improve end users’ awareness, understanding, co…
What consortia for this call have looked like
2 projects
have been funded under this line
(HORIZON-CL6-GOVERNANCE-04) in Horizon Europe and H2020. This is what they
were made of — not a recommendation, just what the Commission signed.
range 15–17
17 seen across all of them
across those projects
The mix of organisations
Who coordinated them
Coordinating an EU project is a demanding, specific job. These organisations have done it on this topic line before.
This is the shape, not the consortium. It says how many partners these projects had and what kinds of organisation were in them. It does not know whether your idea needs the same mix, who is available, who is already committed elsewhere, or how the work and the budget should be divided. Those are judgement calls on a specific proposal, and no amount of public data answers them.
Building the actual consortium — finding the partners, agreeing the roles, and writing it so it survives an evaluation — is what Scientific Network Management does. Free either way; the radar does not change if you never ask.
Finding the call is the easy half. Scientific Network Management is the grant-writing practice behind this radar — 13 years of writing and managing EU-funded research projects, including two EuropeAid technical assistance contracts building biotechnology centres in Türkiye as Team Leader.
Talk to us What SNM does No obligation, and nothing here is conditional on using us — the radar stays free and complete either way.