AFarCloud (H2020-ECSEL-2017-2-RIA) aims to provide a distributed platform for autonomous farming by integration of Cyber Physical Systems in real-time in order to increase efficiency, productivity, animal health, food quality and reduce farm labour costs. The achievements from AFarCloud will be demonstrated in various field demonstrators.
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 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 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.
RISE Acreo is partner in the project with focus on i) development of real-time wireless soil sensors system and implantable pH sensor inside the cow's rumen; ii) Task 'Data processing' leader and WP 'Sensor' leader
28 M€ (RISE Acreo 767 k€)