The ASETA project develops theory and methods for robotic agricultural systems. In ASETA, unmanned aircraft and unmanned ground vehicles are used to automate the task of identifying and removing weeds in sugar beet fields. The framework for a working automatic robotic weeding system is presented along with the implemented computer vision systems.
Smad Electronical Journal Mental Health, Alcohol and Drugs, 2013, p. 217-224
Agriculture; Automation; Autonomous mobile robots; Computer vision; Co-operation; Trajectory planning