eprintid: 31849 rev_number: 12 eprint_status: archive userid: 41887 dir: disk0/00/03/18/49 datestamp: 2017-07-04 17:22:40 lastmod: 2017-07-04 17:22:40 status_changed: 2017-07-04 17:22:40 type: conference_item metadata_visibility: show doclang: de publishedas: Dieser Beitrag ist im Tagungsband der 14. Wissenschaftstagung erschienen. S. Wolfrum, H. Heuwinkel, H.J. Reents, u.a. (Hrsg.) (2017): Ökologischen Landbau weiterdenken - Verantwortung übernehmen - Vertrauen stärken. Beiträge der 14. Wissenschaftstagung Ökologischer Landbau, Freising-Weihenstephan, 7.-10. März 2017 Verlag Dr. Köster, Berlin projects: de-fh-osnabrueck projects: int-conf-wita-2017-landtechnik confdates: 07.-10. März 2017 conference: 14. Wissenschaftstagung Ökologischer Landbau confloc: Campus Weihenstephan, Freising-Weihenstephan refereed: yes budget: 0 publicfulltext: TRUE presentationtype: paper creators_name: Langsenkamp, Frederik creators_name: Ruckelshausen, A. creators_name: Kohlbrecher, Maik creators_name: Jenz, M. creators_name: Kühling, I. creators_name: Trautz, Dieter creators_id: F.Langsenkamp@hs-osnabrueck.de creators_id: D.Trautz@fh-osnabrueck.de title: Bildanalytische Farberkennung zur Geschwindigkeitsregulierung beim Jäteflieger im ökologischen Möhrenanbau ispublished: pub subjects: 5vegetables subjects: 7buildings keywords: weed control, image processing, manual weeding, carrot (Daucus carota) abstract: Weed control in organic carrot production is time and cost intensive. There are several practicable techniques available for inter-row weed control, but the most sensitive area - ted by manual weeding. Weed regulation is usually done in uniform operations for one field, but weeds appear in a huge spatial variability, reflecting heterogeneous soil and climate conditions. Following the idea of precision farming, we developed a concept for camera-based weed detection, which displays the density as recommendation for velocity adaptation for the driver. The system was tested against the usual weeding with one constant velocity in a field trial with randomized plots. By using the new technology it was possible to increase the area performance by higher average velocities without reducing the weeding quality compared to the usual system. The next step of this low-cost component approach would be a complete implementation into the tractor system with the possibility of automatically velocity regulations. date: 2017 date_type: published publisher: Verlag Dr. Köster, Berlin editors_name: Heuwinkel, Hauke editors_name: Reents, Hans Jürgen editors_name: Wolfrum, Sebastian editors_name: Wiesinger, Klaus editors_name: Hülsbergen, Kurt-Jürgen editors_id: reents@wzw.tum.de editors_id: wolfrum@wzw.tum.de editors_id: klaus.wiesinger@lfl.bayern.de editors_id: huelsbergen@wzw.tum.de full_text_status: public isbn: 978-3-89574-925-4 contact_email: d.trautz@hs-osnabrueck.de conf_subm: not_subm fp7_project: no access_rights: info:eu-repo/semantics/openAccess citation: Langsenkamp, Frederik; Ruckelshausen, A.; Kohlbrecher, Maik; Jenz, M.; Kühling, I. and Trautz, Dieter (2017) Bildanalytische Farberkennung zur Geschwindigkeitsregulierung beim Jäteflieger im ökologischen Möhrenanbau. Paper at: 14. Wissenschaftstagung Ökologischer Landbau, Campus Weihenstephan, Freising-Weihenstephan, 07.-10. März 2017. document_url: /id/eprint/31849/1/Bildanalytische%20Farberkennung%20zur.pdf