• Objective 1

    amplify the voice of rural areas to bring them higher on the political agenda
  • Objective 2

    structure and enable collaboration and mutual learning between Pact members
  • Objective 3

    encourage and monitor voluntary commitment for action by Rural Pact community members
Description

Title: Green Agritech Knowledge Graph for Smart and Resilient Rural Communities

I, Victoria Tanoh, commit to advancing the EU Long-Term Vision for Rural Areas through the creation of the Green Agritech Knowledge Graph, an open-access data-science platform that integrates environmental, agricultural, financial, and social information to strengthen rural innovation and sustainability.

This initiative establishes a semantic and spatial data infrastructure connecting Copernicus satellite indicators, FAO and ESA datasets, soil-health and land-use records, and cooperative agricultural data under FAIR and INSPIRE principles. By merging these datasets into a unified ontology, the Knowledge Graph will enable researchers, farmers, policymakers, and rural communities to visualise and analyse land quality, biodiversity, and economic resilience with greater precision.

The objectives are to:

  1. Improve rural data interoperability by creating an open, standardised framework for multi-source agricultural and environmental data;
  2. Empower local actors through capacity building in digital literacy, data management, and the use of AI-based analytics for climate-smart decision-making;
  3. Enhance evidence-based rural policy by sharing harmonised datasets with EU, African, and US partners for comparative rural-development modelling;
  4. Promote social inclusion by involving youth and women innovators in the design, interpretation, and application of rural-data solutions.

Concrete activities:

  • Develop the Green Agritech Knowledge Graph architecture using semantic web and geospatial-AI methods;
  • Conduct workshops titled “Data Interoperability for Smart Villages” with universities, cooperatives, and NGOs across Europe, Ghana, and North Carolina;
  • Implement a pilot node linking one EU rural region with partner inland and remote areas abroad, focusing on soil-health mapping and agri-finance analytics;
  • Release open datasets, ontologies, and visual dashboards through the EU Open Data Portal and Zenodo (DOI) for public use;
  • Publish a technical policy brief on Semantic Data Standards for Rural Digital Twins to guide rural-data governance and replication by other Pact members.

This commitment supports all three Rural Pact objectives:

  • It amplifies rural voices by turning raw data into clear, evidence-based policy insights;
  • It builds collaboration and mutual learning through cross-regional data sharing and digital-training initiatives;
  • It encourages voluntary action by offering a replicable, open-source model that other Rural Pact members can adopt.

The main beneficiaries will be rural and remote rural territories, including smallholder farmers, local authorities, research institutions, and youth-led enterprises. The initiative directly contributes to EU priorities under the Horizon Programme, EAFRD, and LIFE, linking scientific innovation to practical outcomes for soil health, climate adaptation, and sustainable food systems.

By integrating agricultural data science with rural policy frameworks, this action aligns with the EU Green Deal, Farm-to-Fork Strategy, and the Sustainable Development Goals (2 – Zero Hunger, 9 – Industry and Innovation, 13 – Climate Action, 15 – Life on Land). The Green Agritech Knowledge Graph demonstrates how advanced analytics and open-data governance can create measurable benefits for rural resilience, digital inclusion, and environmental stewardship.

Through this voluntary commitment, I aim to showcase the transformative power of data science as a public good—linking Europe’s rural innovation ecosystem with global partners and ensuring that even the most remote communities can participate fully in the digital transition.

Commitment's information

Themes
Stakeholder beneficiary(ies)
  • Academic/research institution
  • Citizen
  • EU Institution
  • National Rural Network
  • Public authority
Activities
  • Communication and/or Advocacy
  • Knowledge sharing
  • Rural development strategy
  • Networking activities
  • Research or/& evaluation
  • Capacity Building
Expected Outcomes

The commitment will deliver research, knowledge sharing, and capacity-building activities connecting rural actors, researchers, and policymakers. Key actions include workshops on semantic-web and AI tools for smart-village data integration; publication of an open rural-data ontology and dashboards on the EU Open Data Portal; and creation of a transatlantic network linking EU, U.S., and African partners for comparative analysis of soil health, land use, and agri-finance resilience. The initiative will generate policy briefs, training materials, and open datasets to strengthen data-driven decision-making and digital inclusion across rural territories.

 

Main results

Number of people

1200

Number of projects

5

Number of jobs

8

Final results

The project will deliver an operational Green Agritech Knowledge Graph linking geospatial, environmental, and socio-economic data for rural development. Key outcomes include improved data accessibility for over 1,000 rural stakeholders, publication of a policy brief on rural digital governance, and creation of an open-source platform adopted by universities and NGOs. At least five derivative initiatives will emerge, including smart-village pilots, soil-health dashboards, and rural data-literacy programs. The action will enhance cross-regional collaboration, foster digital inclusion, and provide replicable evidence for EU and international rural-development strategies.

Organisation/Company information

Green Agritech Foundation

Non-governmental / civil society organisation
Status
Not started
Funding
Commitment's fund
EU funds, Regional funding, Local funding, Private funding
Other fund
Green Agritech Grants
EU Fund
EAFRD & EAGF, Interreg, Horizon programme, LIFE
Budget
Estimated budget
EUR 45 000.00
Planned additional investment
A multidisciplinary team under my supervision using open-source semantic-web tools, Copernicus data, and cloud resources for modeling, ontology design, and rural data training.
Further details
Scope of action
International
Beneficiary country
Other
Type of territories
Rural area, Remote rural area, Inland area