Project description
Innovative training in agricultural robotics for precision
Agricultural robotics for precision farming are now essential, but digital agriculture requires experts and skilled scientists. With the support of the Marie Skłodowska-Curie Actions programme, the AIGreenBots project aims to train 11 researchers in agricultural robotics for precision and digital agriculture. It involves a partnership among universities, research institutions, and companies from Portugal, the Netherlands, the UK, France, and Spain. The project focuses on academic and non-academic collaboration in robotics, automation, artificial intelligence, machine learning, sensor fusion, and safety for agricultural robotics. It will develop new agri-bot platforms. Currently, no PhD training programmes in Europe specifically focus on agriculture robotics, despite the rapidly growing demand for such research.
Objective
"AIGreenBots is a MSCA Doctoral Network that will implement inter-and-cross multidisciplinary training, career development and research collaborations for 11 researchers (ie, DCs: Doctoral Candidates), by an international and complementary partnership involving top Universities, research institutions, agriculture-related stakeholders, ""living lab"" and ""robotic farm"" infrastructures, and companies from different countries (PT, NL, UK, FR, ES), to provide tomorrow's talent with the skills and knowledge to tackle one of the major challenges of our society and the environment - agricultural robotics for precision/digital agriculture. By engaging the DCs on a research-to-industrial exploitation paradigm, the AIGreenBots doctoral-level training brings together academic and non-academic participants from different areas: robotics, automation, remote sensing for precision agriculture, reliable artificial intelligence (AI) and probabilistic machine learning, systems engineering, probabilistic inference, sensor fusion, safety and real-deployment of agricultural robotics.
Collectively, AIGreenBots will work with the Researchers to develop new agri-bots platforms (WP3), robotic perception and sensor-fusion systems (WP4), reliable machine learning (WP5), decision-making under uncertainty (WP6), safety and important legislation aspects will be learned as well (WP7). Currently Europe-wide, there are no PhD training programs that focus on agriculture-robotics that expose students to such broad concepts and expertise, yet there is a rapidly growing need for that research. After completion of the project, Researchers will be fully capable of driving interdisciplinary research at the international level. Thus, AIGreenBots’s structure will serve as a European platform for outstanding doctoral training in intelligent robotics for precision/automated agriculture and digital farming."
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: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- agricultural sciences agriculture, forestry, and fisheries agriculture agronomy
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics
- natural sciences computer and information sciences artificial intelligence machine learning
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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.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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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
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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-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral Networks
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Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2023-DN-01
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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.
3004-531 Coimbra
Portugal
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Participants (5)
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75794 Paris
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06006 Badajoz
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4445-147 Alfena
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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5656 AE Eindhoven
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75007 Paris
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Partners (11)
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6708 PB Wageningen
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TF10 8NB Newport
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LE11 3TU Loughborough
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54052 Nancy Cedex
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63000 Clermont-Ferrand
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3045-093 COIMBRA
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3030-199 Coimbra
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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CB1 1AH Cambridge
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28919 LEGANES
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44340 Bouguenais
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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.
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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.
3045 504 Coimbra
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