Department of Informatics and Telematics

TitleAggregate Farming in the Cloud
Funding InstrumentECSEL Joint Undertaking
DescriptionFarming 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. Reliable detection, accurate identification and proper quantification of pathogens affecting both plant and animal health, must be kept under control to reduce unnecessary costs, trade disruptions and even human health risks. AFarCloud addresses the urgent need for a holistic and systematic approach. It will provide a distributed platform for autonomous farming, which will allow the integration and cooperation of Cyber Physical Systems in real-time for increased agriculture efficiency, productivity, animal health, food quality and reduced farm labour costs. This platform will be integrated with farm management software and will support monitoring and decision-making, based on big data and real time data mining techniques. AFarCloud also aims to make farming robots accessible to more users by enabling farming vehicles to work in a cooperative mesh, opening up new applications and ensuring re-usability, as various standard vehicles can combine their capabilities in order to boost farming efficiency.
HUA's role
Project Budget
HUA Budget
Contact personDimosthenis Anagnostopoulos (This email address is being protected from spambots. You need JavaScript enabled to view it.)
KeywordsSemicon process equipment materials Cyber physical systems Smart systems integration Smart mobility Smart health Smart production