Research
Research project
October 18, 2020
AFarCloud
The EU-funded AFarCloud project applies cloud computing, big data, and machine learning to modernise agriculture. By treating farming as a service and enabling cooperative mesh networks of autonomous vehicles, the consortium aims to lift productivity in a sector facing labour shortages and rural depopulation.
Challenges
- Productivity and cost-effectiveness
- Labour shortage
- Farmers getting older
- Depopulation
Value
More efficient agriculture and farming through AI, autonomous systems, IoT and Cloud.
Solutions
- A distributed platform for autonomous farming that will allow the integration and cooperation of agriculture Cyber Physical Systems.
- Make farming robots accessible to more users by enabling farming vehicles to work in a cooperative mesh.
Objectives
- Demonstration in three holistic demonstrators (Finland, Spain and Italy).
- Strengthen partners' market position boosting their innovation capacity and addressing industrial needs both at EU and international levels.