AI supporting informed advice for farmers and foresters to improve competitiveness and sustainability
Forthcoming
Status as published by the data source.
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, competences and skills on the use, benefits, and risks of the developed AI-based solutions in view of improving the competitiveness and sustainability of EU agriculture and forestry;
• build on results and ensure synergies with other Horizon 2020/ Europe as well as other relevant EU-funded initiatives and projects (e.g. EU Missions, project that may follow from the topic HORIZON-CL6-2024-GOVERNANCE-02-01: European Partnership of Agriculture of Data, and the Common European Agriculture Data Space) and demonstrate adequate planning and use of resources for this purpose;
• ensure wide dissemination and uptake including by demonstrating tangible benefits and added value compared to existing solutions for farmers, forester and their advisors. Proposals must implement the multi-actor approach, with a consortium based on a balanced mix of relevant actors with complementary knowledge to achieve the objectives of the projects, seeking for the involvement of SMEs, start-ups, and including for instance relevant rural actors (in particular end-users of the AI-enabled solution), universities, research and technology organisations. The Joint Research Centre (JRC) may participate as member of the consortium selected for funding. The participation could involve sharing of information and contribution to dissemination of results. Proposals should develop diverse practice-oriented dissemination materials (e.g., audiovisual materials, brochures) presenting the AI-enabled solutions and other R&I results developed within the project and feed them into communication channels most consulted by the potential end-users.
Proposals are encouraged to explore the application of data retrieval techniques (e.g., RAG) for the retrieval of up-to-date and context-specific information from external knowledge sources (e.g., market information, evolving regulation/legislative requirements).
This topic should involve the effective contribution of social sciences and humanities (SSH) disciplines. By integrating relevant SSH expertise (e.g., legal expertise, gender expertise, education and behavioural sciences), the successful proposal aims to produce meaningful results that enhance the societal impact of related research activities, engaging advisors (e.g., including Advisory Networks), farmers, foresters, and other rural actors.
The projects under this topic are relevant to the EU policies related to the policy ambition 'Sustaining our quality of life: Food security, water and nature', the Vision for Agriculture and Food, as well as the objectives set out in the common agricultural policy, and the zero pollution action plan.
null
Activities are expected to achieve TRL 8 by the end of the project – see General Annex B.
- Status
- Forthcoming
- Deadline
- (time not stated)
- Opens
- Published
- Total budget
- €11,800,000
- Grant range
- €5,000,000 – €6,000,000
- Country
- European Union (EU-wide)
- Programme
- Horizon Europe (HORIZON)
- Official page
- Open at the source portal
Other calls under Horizon Europe (HORIZON)
- PV based electrification of the economy: Designing & optimising PV systems supporting industrial electrification and promoting participation in electricity markets (EUPI-PV Partnership)
- Advanced TSO control rooms to enhance grid observability, stability and resilience
- Advanced Distribution Management Systems (ADSM) for more efficient and flexible distribution grids
- Community of practice - Data-Driven Decision-Making in Energy
- Industrial processes and equipment for innovative, reliable and scalable tandem technologies (EUPI-PV Partnership)
- Integrated Approaches for Retrofitting Infrastructures with Innovative Energy Storage Technologies
- Demonstration of hydropower technologies for efficient and forward-looking refurbishment of existing hydropower plants
- Delivery of industrial CCUS clusters – Societal Readiness pilot
All calls under this programme
Similar opportunities
- Researching and applying the potential of Artificial Intelligence to foster climate resilience at the regional and local levels
- International cooperation in AI (IA)
- Increasing the resilience of agriculture in water and nutrient-scarce environments through digital innovations
- Fostering generational renewal in agriculture via EU advisory network
- Improving analytical capacity for sustainable competitiveness of the agricultural sector
- Increasing knowledge flows to practice within AKIS via EU thematic knowledge hubs
Where this came from
- Source document
- https://ec.europa.eu/info/funding-tenders/opportunities/data/topicDetails/horizon-cl6-2027-03-governance-04.json
- Document fingerprint
faf631593d9f091d(SHA-256, first 16 hex characters)- Retrieved
- First recorded here
What has changed
- url first recorded as https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/topic-details/horizon-cl6-2027-03-governance-04 on
- currency first recorded as EUR on
- amount_max first recorded as 6000000.00 on
- amount_min first recorded as 5000000.00 on
- budget_total first recorded as 11800000.00 on
- deadline first recorded as 2027-05-11 on
- opens_on first recorded as 2027-02-04 on
- published_on first recorded as 2025-12-12 on
- status_basis first recorded as source_status on
- status first recorded as forthcoming on
- title first recorded as AI supporting informed advice for farmers and foresters to improve competitiveness and sustainability on
Data source
© European Union, 2026. Source: EU Funding & Tenders Portal. Reused under Commission Decision 2011/833/EU — CC BY 4.0.
Retrieved from the source on .
The source last updated this document on Mon, 02 Mar 2026 09:38:59 GMT.
Personal data of natural persons has been dissociated by quiescence.eu.
This service is not affiliated with, sponsored or endorsed by the data publishers.