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dc.contributor.authorSeatovic, Dejan-
dc.date.accessioned2019-02-22T13:22:21Z-
dc.date.available2019-02-22T13:22:21Z-
dc.date.issued2008-
dc.identifier.isbn978-3-540-79546-9de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/15602-
dc.description.abstractOne of the most invasive and persistent kind of weed in agriculture is also called "Broad-leaved Dock". The origin of the plant is Europe and northern Asia, but it has also been reported that this plant occurs in wide parts of Northern America. Eradication of this plant is labour-intensive and hence there is an interest in automatic weed control devices. Some vision systems were proposed that allow to localize and map plants in the meadow. However, these systems were designed and implemented for o-line processing. This paper presents a segmentation approach that allows for real-time recognition and application of herbicides onto the plant leaves. Instead of processing the gray-scale or colour images, our approach relays on 3D point cloud analysis and processing. 3D data processing has several advantages over 2D image processing approaches when it comes to extraction and recognition of plants in their natural environment.de_CH
dc.language.isoende_CH
dc.publisherSpringerde_CH
dc.relation.ispartofseriesLecture Notes in Computer Sciencede_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectPlant recognitionde_CH
dc.subjectPrecision farmingde_CH
dc.subjectSegmentationde_CH
dc.subject.ddc004: Informatikde_CH
dc.titleA segmentation approach in novel real time 3D plant recognition systemde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Mechatronische Systeme (IMS)de_CH
dc.identifier.doi10.1007/978-3-540-79547-6_35de_CH
zhaw.conference.details6th International Conference on Computer Vision Systems (ICVS), Santorini, Greece, 12-15 May 2008de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end372de_CH
zhaw.pages.start363de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.series.number4805de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedingsComputer Vision Systems : 6th International Conference on Computer Vision Systems, ICVS 2008 Santorini, Greece, May 12-15, 2008, Proceedingsde_CH
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Seatovic, D. (2008). A segmentation approach in novel real time 3D plant recognition system [Conference paper]. Computer Vision Systems : 6th International Conference on Computer Vision Systems, ICVS 2008 Santorini, Greece, May 12-15, 2008, Proceedings, 363–372. https://doi.org/10.1007/978-3-540-79547-6_35
Seatovic, D. (2008) ‘A segmentation approach in novel real time 3D plant recognition system’, in Computer Vision Systems : 6th International Conference on Computer Vision Systems, ICVS 2008 Santorini, Greece, May 12-15, 2008, Proceedings. Springer, pp. 363–372. Available at: https://doi.org/10.1007/978-3-540-79547-6_35.
D. Seatovic, “A segmentation approach in novel real time 3D plant recognition system,” in Computer Vision Systems : 6th International Conference on Computer Vision Systems, ICVS 2008 Santorini, Greece, May 12-15, 2008, Proceedings, 2008, pp. 363–372. doi: 10.1007/978-3-540-79547-6_35.
SEATOVIC, Dejan, 2008. A segmentation approach in novel real time 3D plant recognition system. In: Computer Vision Systems : 6th International Conference on Computer Vision Systems, ICVS 2008 Santorini, Greece, May 12-15, 2008, Proceedings. Conference paper. Springer. 2008. S. 363–372. ISBN 978-3-540-79546-9
Seatovic, Dejan. 2008. “A Segmentation Approach in Novel Real Time 3D Plant Recognition System.” Conference paper. In Computer Vision Systems : 6th International Conference on Computer Vision Systems, ICVS 2008 Santorini, Greece, May 12-15, 2008, Proceedings, 363–72. Springer. https://doi.org/10.1007/978-3-540-79547-6_35.
Seatovic, Dejan. “A Segmentation Approach in Novel Real Time 3D Plant Recognition System.” Computer Vision Systems : 6th International Conference on Computer Vision Systems, ICVS 2008 Santorini, Greece, May 12-15, 2008, Proceedings, Springer, 2008, pp. 363–72, https://doi.org/10.1007/978-3-540-79547-6_35.


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