  This work presents a new robotics simulation environment built upon Unreal
Engine 5 (UE5) for agricultural image data generation. The simulation utilizes
the state-of-the-art real-time rendering engine to provide realistic plant
images which are often used in agricultural applications. This study showcases
the rendering accuracy of UE5 in comparison to existing tools and assesses its
positional accuracy when integrated with Robot Operating Systems (ROS). The
results indicate that UE5 achieves an impressive average distance error of
0.021mm when compared to predetermined setpoints in a multi-robot setup
involving two UR10 arms.
