R&D support for AI and robotic development, synthetic data and simulation environments
Summary
Advice and hands on support for the development of algorithms for detection of plant properties. Using extensive knowledge of the challenges in the agricultural domain we can support in overcoming challenges in detection for (robotic) actuations. The service includes a virtual test environments in a virtual greenhouse in a game engine with a connection to ROS. This enables reproducible tests of digital twins of your product.
S00135
Version: 1.10
- horticulture
- desk assessment
- performance evaluation
- design / documentation
- Location: in the Netherlands
- Offered by: WUR
Description
With the help of our Vision+Robotics researchers we support you in the development of robust and reliable deep learning networks for the agricultural domain. We also have the possibility to perform tests in digital environments of a greenhouse or open field situation. The environments are build in a game engine and coupled with ROS to be able to test robotic systems. These environments also offer the possibility to enrich datasets with synthetic data to train detection networks.