2016
An effective classification system for separating sugar beets and weeds for precision farming applications
Philipp Lottes, Markus Hoeferlin, Slawomir Sander, Matthias Muter, Peter Schulze Lammers, Cyrill Stachniss
ICRA 2016
Robots for precision farming have the potential to reduce the reliance on herbicides and pesticides through selectively spraying individual plants or through manual weed removal. To achieve this, the value crops and the weeds must be identified by the robot's perception system to trigger the actuato