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Field plant characterization method based on a multi-wavelength line profiling system

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dc.contributor.authorPamornnak, Burawich
dc.contributor.authorScholz, Christian
dc.contributor.authorNieberg, Dominik
dc.contributor.authorIgelbrink, Matthias
dc.contributor.authorRuckelshausen, Arno
dc.contributor.editorMeyer-Aurich, Andreas
dc.contributor.editorGandorfer, Markus
dc.contributor.editorHoffmann, Christa
dc.contributor.editorWeltzien, Cornelia
dc.contributor.editorBellingrath-Kimura, Sonoko
dc.contributor.editorFloto, Helga
dc.date.accessioned2021-03-02T14:37:24Z
dc.date.available2021-03-02T14:37:24Z
dc.date.issued2021
dc.description.abstractPhenotyping of plant characteristics is essential for plant breeding. Especially the growth stages of plants during field emergence, described by parameters such as plant height and plant counting, are of interest. But large-scale manual phenotyping is very inconvenient due to the workload, the harsh weather conditions, and time-consumption. Therefore, an automated system is needed. This research describes a field plant characterization method implemented in a plot divider machine for rapeseeds. The method consists of a plant height estimation and a plant counting system. Based on a multi-wavelength line profiling (MWLP) sensor system, the 2D and 3D point cloud information from visible wavelengths to near-infrared (NIR) are automatically mapped without any need for a matching method. The plant characterization processes consist of two main steps, 1) plant detection, and 2) height estimation. These processes use the 2D NIR and 3D point cloud as the main features. The proposed method was demonstrated with highly accurate results in several rapeseeds, illustrating the potential of this method to become a basic tool for crop characterization in plant sciencesen
dc.identifier.isbn978-3-88579-703-6
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/35680
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartof41. GIL-Jahrestagung, Informations- und Kommunikationstechnologie in kritischen Zeiten
dc.relation.ispartofseriesLecture Notes in Informatics
dc.subjectphenotyping
dc.subject3D imaging
dc.subjectspectral imaging
dc.subjectplant detection
dc.subjectpoint clouds
dc.subjectfield trails
dc.subjectagricultural machinery
dc.titleField plant characterization method based on a multi-wavelength line profiling systemen
dc.typeText/Conference Paper
gi.citation.endPage246
gi.citation.publisherPlaceBonn
gi.citation.startPage241
gi.conference.date08.-09. März 2021
gi.conference.locationPotsdam, Online
gi.conference.sessiontitleGIL-Jahrestagung - Fokus: Informations- und Kommunikationstechnologien in kritischen Zeiten

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P309 - 41. GIL-Jahrestagung 2021 - Fokus: Informations- und Kommunikationstechnologie in kritischen Zeiten