Project description
Enabling farmers with agriculture intelligent systems
The economic viability of agriculture in Europe is at risk. Farmers are challenged by high costs, low yields, labour shortages, climate change, plant pathogens and livestock disease. That’s a lot to manage, especially for small agricultural enterprises. To address this, the EU-funded AFarCloud project will develop a distributed platform for autonomous farming that enables the integration of agriculture intelligent systems in real time. This will enhance productivity, food quality, crop and livestock health, and reduce labour costs. The platform will be integrated with farm management software to support monitoring and decision-making solutions. AFarCloud also aims to provide more farmers with access to farming robots by establishing a cooperative network of farming vehicles.
Objective
Farming is facing many economic challenges in terms of productivity and cost-effectiveness, as well as an increasing labour shortage partly due to depopulation of rural areas. Furthermore, reliable detection, accurate identification and proper quantification of pathogens and other factors affecting both plant and animal health, are critical to be kept under control in order to reduce economic expenditures, trade disruptions and even human health risks.
AFarCloud will provide a distributed platform for autonomous farming that will allow the integration and cooperation of agriculture Cyber Physical Systems in real-time in order to increase efficiency, productivity, animal health, food quality and reduce farm labour costs. This platform will be integrated with farm management software and will support monitoring and decision-making solutions based on big data and real time data mining techniques.
The AFarCloud project also aims to make farming robots accessible to more users by enabling farming vehicles to work in a cooperative mesh, thus opening up new applications and ensuring re-usability, as heterogeneous standard vehicles can combine their capabilities in order to lift farmer revenue and reduce labour costs.
The achievements from AFarCloud will be demonstrated in 3 holistic demonstrators (Finland, Spain and Italy), including cropping and livestock management scenarios and 8 local demonstrators (Latvia, Sweden, Spain and Czech Republic) in order to test specific functionalities and validate project results in relevant environments located in different European regions.
AFarCloud outcomes will strengthen partners’ market position boosting their innovation capacity and addressing industrial needs both at EU and international levels. The consortium represents the whole ICT-based farming solutions’ value chain, including all key actors needed for the development, demonstration and future market uptake of the precision farming framework targeted in the project.
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 electrical engineering, electronic engineering, information engineering information engineering telecommunications telecommunications networks mobile network 5G
- natural sciences computer and information sciences software
- natural sciences computer and information sciences internet
- social sciences economics and business business and management innovation management
- natural sciences chemical sciences inorganic chemistry transition metals
- engineering and technology mechanical engineering vehicle engineering aerospace engineering satellite technology
- natural sciences computer and information sciences data science big data
- natural sciences computer and information sciences data science data mining
- social sciences economics and business economics production economics productivity
- engineering and technology electrical engineering, electronic engineering, information engineering information engineering telecommunications telecommunications networks mobile network 4G
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
- agricultural sciences agriculture, forestry, and fisheries agriculture
- agricultural sciences animal and dairy science domestic animals animal husbandry
- social sciences political sciences government systems
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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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H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
MAIN PROGRAMME
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H2020-EU.2.1.1.7. - ECSEL
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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.
RIA - Research and Innovation action
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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) H2020-ECSEL-2017-2-RIA-two-stage
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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.
28040 Madrid
Spain
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Participants (60)
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28033 MADRID
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48160 DERIO BIZKAIA
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39011 Santander
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Logrono
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14007 CORDOBA
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26006 Logrono
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28033 Madrid
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28036 Madrid
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17176 Sant Esteve D'En Bas
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50676 Koln
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Participation ended
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3000 Leuven
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Participation ended
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3001 Leuven
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1050 Bruxelles / Brussel
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1210 Wien
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1040 Wien
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1040 Wien
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8141 Premstatten
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4400 Steyr
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8020 Graz
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3810-193 GLORIA E VERA CRUZ
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1300-609 LISBOA
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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.
3830 352 Ilhavo
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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.
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.
7800 295 Beja
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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.
Participation ended
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.
7800-957 Beja
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7034 Trondheim
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7010 Trondheim
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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.
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.
722 20 VASTERAAS
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118 26 Stockholm
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581 83 Linkoping
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164 25 Kista
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191 61 Sollentuna
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412 85 Goteborg
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820 60 Delsbo
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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.
583 35 Linkoping
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02150 Espoo
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67100 Kokkola
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01301 Vantaa
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00380 Helsinki
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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.
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.
90420 Oulu
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150 00 Praha
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301 00 Pilsen
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10400 Praha
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116 36 Praha 1
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277 13 Zaryby
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80-233 GDANSK
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80-309 GDANSK
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00185 Roma
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43121 PARMA
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82100 Benevento
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67100 L Aquila
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82100 Benevento
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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.
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00175 Roma
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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.
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56121 Pisa Pi
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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.
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44122 Ferrara
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20864 Agrate Brianza
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1459 Riga
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176 71 Athina
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11526 Athina
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185 33 Piraeus
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501 15 Boras
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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.