| Document Date: 2014-06-03 10:10:47
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City Zurich / C0598 Camera / / Company iotec GmbH / Precision Spraying App Hardware / Discussion Laboratory / Microsoft / ICPA / / Country Germany / / Facility University of Applied Sciences Osnabrueck / Microsoft LifeCam Studio / / IndustryTerm image-processing / image processing algorithm / potential applications / open software framework / Present agricultural processing / test carrier vehicle / image processing / carrier vehicle / important supportive tool / tractor-implement management solution / agricultural machinery / Sensor-based online measurements / electronics / image processing algorithms / control applications / plant detection algorithm / image-processing algorithm / weed control solution / chemicals / test applications / software application / heavy agricultural machinery / chemical weed control / sprayer technology / energy / / Organization Competence Center of Applied Agricultural Engineering COALA / University of Applied Sciences Osnabrueck / European Union / / Person Jörgensen / Arno Ruckelshausen / Maik Kohlbrecher / Lund / Daniel Mentrup / Christian Scholz / / Position R. N. / / Product Robot Operating System / / Technology plant detection algorithm / Ethernet / Imaging technologies / sprayer technology / image-processing algorithm / image processing algorithm / simulation / Operating System / image processing algorithms / image processing / / URL www.beckhoff.com / www.eurageng.eu / www.opencv.org / /
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Ref: C0598 Camera-based selective weed control application module (“Precision Spraying App”) for the autonomous field robot platform BoniRob Christian Scholz, Maik Kohlbrecher and Arno Ruckelshausen, University of A