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
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationstelecommunications networksmobile network5G
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationstelecommunications networksmobile network4G
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- agricultural sciencesagriculture, forestry, and fisheriesagriculture
- agricultural sciencesanimal and dairy sciencedomestic animalsanimal husbandry
Keywords
Programme(s)
Topic(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
28040 Madrid
Spain
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Participants (60)
28033 MADRID
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20009 DONOSTIA-SAN SEBASTIAN (GIPUZKOA)
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39011 Santander
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Logrono
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
14007 CORDOBA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Participation ended
26006 LOGRONO
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28033 Madrid
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
28036 Madrid
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
17176 Sant Esteve D'En Bas
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
50676 Koln
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Participation ended
3000 Leuven
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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 UNTERPREMSTATTEN
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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 066 Lisboa
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
3830 352 Ilhavo
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
7800 295 Beja
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Participation ended
7800-957 Beja
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7034 Trondheim
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7010 Trondheim
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
722 20 VASTERAAS
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118 26 Stockholm
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Participation ended
581 83 Linkoping
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Participation ended
164 25 Kista
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191 61 Sollentuna
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
412 85 Goteborg
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
820 60 Delsbo
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
583 35 Linkoping
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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 organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
90420 Oulu
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
150 00 PRAHA 5
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
80-233 GDANSK
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80-394 Gdansk
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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 organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
00175 Roma
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
56121 Pisa Pi
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
44122 Ferrara
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
20864 Agrate Brianza
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1459 Riga
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176 71 Athina
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Participation ended
11526 Athina
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
185 33 Piraeus
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
501 15 Boras
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