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dc.contributor.authorVázquez-Arellano, Manuel
dc.contributor.authorReiser, David
dc.contributor.authorIzard, Miguel Garrido
dc.contributor.authorGriepentrog, Hans W.
dc.contributor.editorRuckelshausen, A.
dc.contributor.editorMeyer-Aurich, A.
dc.contributor.editorRath, T.
dc.contributor.editorRecke, G.
dc.contributor.editorTheuvsen, B.
dc.date.accessioned2017-06-21T07:39:11Z
dc.date.available2017-06-21T07:39:11Z
dc.date.issued2016
dc.identifier.isbn978-3-88579-647-3
dc.identifier.issn1617-5468
dc.description.abstractCrop phenotyping is a prerequisite to enable robots doing agricultural tasks, evaluating crop status for farm management, and relating genotypes to phenotypes for crop breeding among others. Optical three dimensional (3-D) sensors have been preferred since they provide more information about the complex plant architecture. The improvement of time-of-flight (TOF) cameras together with their reduced economical costs have provided an appropriate tool for tasks that require detailed information of the agricultural environment. In this paper, 3-D reconstruction of maize is performed in different environments, from controlled greenhouse to the open field, to evaluate the capabilities of a consumer camera.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofInformatik in der Land-, Forst- und Ernährungswirtschaft 2016
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-253
dc.titleReconstruction of geo-referenced maize plants using a consumer time-of-flight camera in different agricultural environmentsen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages213-216
mci.conference.locationOsnabrück
mci.conference.date22.-23. Februar 2016


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