AFarCloud – Aggregate FARming in the CLOUD
- Project coordinator:
- José Fernán Martínez
- Total cost::
- EUR 28,265,391.26
- Proposed start date:
- Proposed end date:
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. In other terms, a novel holistic view of farming and of everything tightly connected with the optimization of production, in order to promote a healthier life-style and reduced labour levels for workers. 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-uuability, 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 early laboratory trials, holistic demonstrators (Finland, Spain and Italy), including cropping and livestock management scenarios and local demonstrators (Latvia, Sweden 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. AFarCloud will enable and extend the usage of smart farming by combining experts from industry4.0, smart mobility and Internet of Things (IoT) with agricultural solution provider and end user. 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.
- Universidad Politécnica de Madrid. Escuela Técnica Superior de Ingeniería y Sistemas de Telecomunicación
- Start date:
- End date:
- Important information :
- Provisional agenda
- Travel information