| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 716336 | IFAC Proceedings Volumes | 2013 | 8 Pages |
Abstract
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 treating weeds in sugar beet fields. The framework for a working automatic robotic weeding system is presented along with the implemented computer vision systems.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
