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AuthorPetrich, Lukasdc.contributor.author
AuthorLohrmann, Georgdc.contributor.author
AuthorNeumann, Matthiasdc.contributor.author
AuthorMartin, Fabiodc.contributor.author
AuthorFrey, Andreasdc.contributor.author
AuthorStoll, Albertdc.contributor.author
AuthorSchmidt, Volkerdc.contributor.author
Date of accession2020-10-26T08:50:51Zdc.date.accessioned
Available in OPARU since2020-10-26T08:50:51Zdc.date.available
Date of first publication2020dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
KeywordColchicum autumnaledc.subject
KeywordConvolutional neural networkdc.subject
KeywordDrone imagedc.subject
KeywordObject detectiondc.subject
Dewey Decimal GroupDDC 630 / Agriculture and related technologiesdc.subject.ddc
TitleDetection of Colchicum autumnale in drone images, using a machine-learning approachdc.title
Resource typeWissenschaftlicher Artikeldc.type
FacultyFakultät für Mathematik und Wirtschaftswissenschaftenuulm.affiliationGeneral
InstitutionInstitut für Stochastikuulm.affiliationSpecific
DCMI TypeTextuulm.typeDCMI
CategoryPublikationsnachweiseuulm.category
DOI (external)10.1007/s11119-020-09721-7dc.identifier.doiExternal
Source - Title of sourcePrecision Agriculturesource.title
Source - Place of publicationSpringersource.publisher
Source - Volume2020source.volume
Source - ISSN1385-2256source.identifier.issn
Source - eISSN1573-1618source.identifier.eissn
Open AccessOther Golduulm.OA
Suitable communityFakultät für Mathematik und Wirtschaftswissenschaftenuulm.community
WoS000530788600001uulm.identifier.wos
University Bibliographyjauulm.unibibliographie


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