Project description
Artificial intelligence and Earth observation for Romania’s agriculture
Romania has significant agricultural potential and could play a significant role in the strategic autonomy, food security and sustainability of Europe. However, agricultural capacity is underexploited due to lack of technology and funds, soil fragmentation and erosion, and desertification. AI-based systems and applications, fostering Earth observation (EO) data (mainly the freely available data from the Copernicus EU programme), offer incredible possibilities. The EU-funded AI4AGRI project will create a dedicated research centre for AI on EO data for the agricultural sector by twinning with two research institutes in AI and EO from France and Italy. The research centre will provide training to young scientists and maps of vegetation status for farmers, and develop administrative and management skills for R&I.
Objective
The world population will increase from 7.5 to 9.7 billion by 2050, boosting agricultural demand and adding pressure on natural resources. Although agriculture remains the main activity in many countries, the decline in agriculture’s share of total production and employment is observed. Agricultural investments and technological innovations are needed to boost productivity. Romania, with an agricultural capacity of 14.7 million hectares from which 6.8 million hectares are not or under-exploited, could play a major role in the strategic autonomy and food security and sustainability of Europe. Romania’s agricultural capacity is heavily underexploited due to obsolete technology, soil fragmentation/erosion, desertification and difficulty in accessing funds. Artificial intelligence (AI)-based systems and applications have a significant potential for agriculture. The Copernicus EU Programme, offering free access to accurate Earth Observation (EO) data provided by the Sentinel satellites, opens incredible possibilities for future research and AI-based applications for the purpose of sustainable development of agriculture in Europe. The AI4AGRI project aims at creating a dedicated research center for AI in EO for the agricultural sector. The research excellence will be achieved through dense networking activities with two top research institutes in France and Italy in AI and EO. AI4AGRI research center will become a reference to train young scientists in the domain of AI for agriculture, providing maps of vegetation status for Romanian farmers based on EO data using AI. AI4AGRI will develop administrative and management skills for research and innovation. To achieve these goals, AI4AGRI twinning will enhance the networking activities between partners through a strategy comprising of joint research, short-term staff exchanges, expert visits and short-term training, joint summer schools and workshops, as well as conference attendance, dissemination and outreach activities.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technology mechanical engineering vehicle engineering aerospace engineering satellite technology
- social sciences economics and business economics production economics productivity
- agricultural sciences agriculture, forestry, and fisheries agriculture
- social sciences economics and business business and management employment
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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.4.1 - Widening participation and spreading excellence
MAIN PROGRAMME
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HORIZON.4.1.2 - Twinning
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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-CSA - HORIZON Coordination and Support 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-WIDERA-2021-ACCESS-03
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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.
500036 Brasov
Romania
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.