The Institute of Mathematics and Computer Science, University of Latvia (IMCS UL) is the cooperation partner of this project.
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.
The achievements from AFarCloud will be showcased in early laboratory trials and holistic demonstrators, including cropping and livestock management scenarios. Local demonstrators will 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.
Contract no.: Ecsel project 783221
Project Manager: Artis Gaujēns
Duration of the project : 2018-2021
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