Assessing the capability of YOLO- and transformer-based object detectors for real-time weed detection

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dc.contributor.authorAllmendinger, Alicia
dc.contributor.authorSaltık, Ahmet Oğuz
dc.contributor.authorPeteinatos, Gerassimos G.
dc.contributor.authorStein, Anthony
dc.contributor.authorGerhards, Roland
dc.date.accessioned2025-11-21T10:19:46Z
dc.date.available2025-11-21T10:19:46Z
dc.date.issued2025
dc.date.updated2025-10-30T14:47:41Z
dc.identifier.urihttps://doi.org/10.1007/s11119-025-10246-0
dc.identifier.urihttps://hohpublica.uni-hohenheim.de/handle/123456789/18209
dc.language.isoeng
dc.rights.licensecc_by
dc.subjectWeed control
dc.subjectDigital farming
dc.subjectComputer vision
dc.subjectDeep learning
dc.subjectSingle stage detector
dc.subjectYOLO
dc.subjectDetection transformer
dc.subject.ddc630
dc.titleAssessing the capability of YOLO- and transformer-based object detectors for real-time weed detectionen
dc.type.diniArticle
dcterms.bibliographicCitationPrecision agriculture, 26 (2025), 52. https://doi.org/10.1007/s11119-025-10246-0. ISSN: 1573-1618
dcterms.bibliographicCitation.articlenumber52
dcterms.bibliographicCitation.issn1573-1618
dcterms.bibliographicCitation.journaltitlePrecision agriculture
dcterms.bibliographicCitation.originalpublishernameSpringer US
dcterms.bibliographicCitation.originalpublisherplaceNew York
dcterms.bibliographicCitation.volume26
local.export.bibtex@article{Allmendinger2025-09-27, doi = {10.1007/s11119-025-10246-0}, url = {https://hohpublica.uni-hohenheim.de/handle/123456789/18209}, author = {Allmendinger, Alicia and Saltık, Ahmet Oğuz and G. Peteinatos, Gerassimos et al.}, title = {Assessing the capability of YOLO- and transformer-based object detectors for real-time weed detection}, journal = {Precision agriculture}, year = {2025-09-27}, volume = {26}, }
local.subject.sdg2
local.subject.sdg9
local.subject.sdg12
local.title.fullAssessing the capability of YOLO- and transformer-based object detectors for real-time weed detection

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