Robotic Weeding

 

The vision of the project is to develop new weeding measures that can reduce the manual weeding effort in organic vegetables and beets by 50-100% and reduce herbicide use in conventional grown row crops by 75-100%. The goal of this proposal is to establish knowledge of advanced technology for robotic weeding between crop plants. The research object will be a hybrid system, which integrates:

• High-precision seed mapping, 		 
 

• Computer vision for plant recognition

 

• Advanced tools for weed removal/control.

The basis for achieving the goal exists through the expertise of the participating institutions and the results obtained in national and international research projects on high-precision navigation and seeding with RTK-GPS, computer vision for plant recognition and new tools for weed control.
 

Participants
 Danish Institute of Agricultural Sciences,Department of Agricultural Engineering
The Royal Veterinary and Agricultural University
The Danish Agricultural Advisory Centre
Eco-Dan
Hardi International
 

Project Co-ordinator
 Research director Svend Christensen, Danish Institute of Agricultural Sciences, Department of Agricultural Engineering

For further information on the research project take a look at the following presentation -



December 2004