@article{(Open Science Index):https://publications.waset.org/pdf/10007126,
	  title     = {RoboWeedSupport-Semi-Automated Unmanned Aerial System for Cost Efficient High Resolution in Sub-Millimeter Scale Acquisition of Weed Images},
	  author    = {Simon L. Madsen and  Mads Dyrmann and  Morten S. Laursen and  Rasmus N. Jørgensen},
	  country	= {},
	  institution	= {},
	  abstract     = {Recent advances in the Unmanned Aerial System (UAS) safety and perception systems enable safe low altitude autonomous terrain following flights recently demonstrated by the consumer DJI Mavic PRO and Phamtom 4 Pro drones. This paper presents the first prototype system utilizing this functionality in form of semi-automated UAS based collection of crop/weed images where the embedded perception system ensures a significantly safer and faster gathering of weed images with sub-millimeter resolution. The system is to be used when the weeds are at cotyledon stage and prior to the harvest recognizing the grass weed species, which cannot be discriminated at the cotyledon stage.},
	    journal   = {International Journal of Mechanical and Mechatronics Engineering},
	  volume    = {11},
	  number    = {4},
	  year      = {2017},
	  pages     = {835 - 839},
	  ee        = {https://publications.waset.org/pdf/10007126},
	  url   	= {https://publications.waset.org/vol/124},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 124, 2017},
	}