Please use this identifier to cite or link to this item: https://doi.org/10.48441/4427.3090
DC FieldValueLanguage
dc.contributor.authorMeyer, Philipp-
dc.contributor.authorLange, Timo-
dc.contributor.authorTrost, Matthis-
dc.contributor.authorTiedemann, Tim-
dc.date.accessioned2026-01-06T16:24:12Z-
dc.date.available2026-01-06T16:24:12Z-
dc.date.issued2025-02-04-
dc.identifier.isbn978-3-88579-802-6en_US
dc.identifier.issn1617-5468en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12738/18604-
dc.description.abstractAutonomous harvesting of strawberries is dependent on the detection of fruits and their ripeness. For harvesting in commercial fields, at least unripe, ripe, and overripe fruits must be distinguishable. In this paper, we employ visual image-wise segmentation with multi-spectral pixel-wise ripeness classification on real field recordings. Our results show the feasibility and potential of this combination. Furthermore, we identify problematic parts and necessary improvements.en
dc.description.sponsorshipBundesministerium für Ernährung und Landwirtschaften_US
dc.language.isoenen_US
dc.relation.ispartofLecture Notes in Informatics (LNI)-Proceedingsen_US
dc.subjectstrawberry harvestingen_US
dc.subjectautonomous roboten_US
dc.subjectmulti-spectral imagingen_US
dc.subjectmachine learningen_US
dc.subject.ddc630: Landwirtschaft, Veterinärmedizinen_US
dc.titleFirst results of combining RGB segments and multi-spectral pixel classes for strawberry ripeness detectionen
dc.typeinProceedingsen_US
dc.relation.conference45. GIL-Jahrestagung, Digitale Infrastrukturen für eine nachhaltige Land-, Forst-und Ernährungswirtschaften_US
dc.identifier.doi10.48441/4427.3090-
dc.description.versionPeerRevieweden_US
local.contributorCorporate.editorGesellschaft für Informatik e.V.-
local.contributorPerson.editorDörr, J.-
local.contributorPerson.editorSteckel, T.-
local.contributorPerson.editorPrankl, H.-
local.contributorPerson.editorKruder-Motsch, V.-
local.contributorPerson.editorBosse, S.-
local.contributorPerson.editorRiegler-Nurscher, P.-
local.contributorPerson.editorFloto, H.-
openaire.rightsinfo:eu-repo/semantics/openAccessen_US
tuhh.container.endpage338en_US
tuhh.container.startpage333en_US
tuhh.identifier.urnurn:nbn:de:gbv:18302-reposit-226458-
tuhh.oai.showtrueen_US
tuhh.publication.instituteFakultät Informatik und Digitale Gesellschaften_US
tuhh.publisher.doi10.18420/giljt2025_38-
tuhh.publisher.urlhttps://gil-net.de/Publikationen/GIL25_Proceedings_final_01.pdf-
tuhh.relation.ispartofseriesLecture Notes in Informatics (LNI)-Proceedingsen_US
tuhh.relation.ispartofseriesnumberP-385en_US
tuhh.type.opusInProceedings (Aufsatz / Paper einer Konferenz etc.)-
dc.relation.projectRobotik in der Landwirtschaften_US
dc.rights.cchttps://creativecommons.org/licenses/by-sa/4.0/en_US
dc.type.casraiConference Paper-
dc.type.dinicontributionToPeriodical-
dc.type.drivercontributionToPeriodical-
dc.type.statusinfo:eu-repo/semantics/publishedVersionen_US
dcterms.DCMITypeText-
tuhh.apc.statusfalseen_US
item.openairetypeinProceedings-
item.cerifentitytypePublications-
item.tuhhseriesidLecture Notes in Informatics (LNI)-Proceedings-
item.creatorOrcidMeyer, Philipp-
item.creatorOrcidLange, Timo-
item.creatorOrcidTrost, Matthis-
item.creatorOrcidTiedemann, Tim-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.seriesrefLecture Notes in Informatics (LNI)-Proceedings;P-385-
item.languageiso639-1en-
item.creatorGNDMeyer, Philipp-
item.creatorGNDLange, Timo-
item.creatorGNDTrost, Matthis-
item.creatorGNDTiedemann, Tim-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
crisitem.author.deptDepartment Informatik (ehemalig, aufgelöst 10.2025)-
crisitem.author.deptDepartment Informatik (ehemalig, aufgelöst 10.2025)-
crisitem.author.orcid0000-0002-6628-7652-
crisitem.author.parentorgFakultät Technik und Informatik (ehemalig, aufgelöst 10.2025)-
crisitem.author.parentorgFakultät Technik und Informatik (ehemalig, aufgelöst 10.2025)-
crisitem.project.funderBundesministerium für Ernährung, Landwirtschaft und Heimat-
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