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Publications:A mobile robot for mechanical weed control
Abstract <p>This paper presents an autonomous<p>This paper presents an autonomous agricultural mobile robot for mechanical weed control in outdoor environments. The robot employs two vision systems: one grey-level vision system that is able to recognise the row structure formed by the crops and to guide the robot along the rows and a second, colour-based vision system that is able to identify a single crop among weed plants. This vision system controls a weeding-tool that removes the weed within the row of crops. It has been shown that colour vision is feasible for single plant identification, i.e. discriminating between crops and weeds. The system as a whole has been verified, showing that the subsystems are able to work together effectively. A first trial in a greenhouse showed that the robot is able to manage weed control within a row of sugar beet plants.</p>thin a row of sugar beet plants.</p>
Author Björn Åstrand + , Albert-Jan Baerveldt +
Diva http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:281378
EndPage 95  +
Issue 1250  +
Journal International Sugar Journal  +
PublicationType Journal Paper  +
StartPage 89  +
Title A mobile robot for mechanical weed control  +
Volume 105  +
Year 2003  +
Has queryThis property is a special property in this wiki. Publications:A mobile robot for mechanical weed control + , Publications:A mobile robot for mechanical weed control + , Publications:A mobile robot for mechanical weed control + , Publications:A mobile robot for mechanical weed control + , Publications:A mobile robot for mechanical weed control + , Publications:A mobile robot for mechanical weed control + , Publications:A mobile robot for mechanical weed control + , Publications:A mobile robot for mechanical weed control + , Publications:A mobile robot for mechanical weed control + , Publications:A mobile robot for mechanical weed control +
Categories Publication  +
Modification dateThis property is a special property in this wiki. 30 September 2016 20:40:10  +
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