Agriculture Use Case: Agriculture Robot
In the process of moving towards autonomous robotic agricultural operations, several tasks rise to ensure continuous product reliability and performance without human interaction during operation. A common challenge when developing agricultural machinery is the ability to comply with the varying physical conditions across Europe, e.g. soil type and texture, topography, etc. Furthermore, the robots need to be compatible with a wide range of equipment and tools to be an integrated part of future farming. The agricultural robots consist of multiple sensors, software, electronics and mechanics. Tests is a crucial but time-consuming. By obtaining a validated digital twin of the system, the time to market can be reduced by performing tests in a virtual setting rather than performing physical tests that are often constrained by the availability of a test field, weather conditions and fully functional subsystems. By increasing the physics-based modelling, simulation and digital twin capabilities will provide valuable insights about the overall machine performance in the design phase as well as during field operation.