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Real-time tracking and counting of grape clusters in the field based on channel pruning with YOLOv5s

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dc.contributor.authorShen, Lei
dc.contributor.authorSu, Jinya
dc.contributor.authorHe, Runtian
dc.contributor.authorSong, Lijie
dc.contributor.authorHuang, Rong
dc.contributor.authorFang, Yulin
dc.contributor.authorSong, Yuyang
dc.contributor.authorSu, Baofeng
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Machine Learningen
dc.date.accessioned2025-02-01T00:07:19Z
dc.date.available2025-02-01T00:07:19Z
dc.date.embargoedUntil2025-02-01
dc.date.issued2023-03-01
dc.descriptionThis work was supported by the Key R&D Projects of Shaanxi Province, China (Grant No. 2021NY-041) and the Key R&D Program of Ningxia Hui Autonomous Region, China (Grant No. 2021BEF02017). The authors would like to thank the anonymous reviewers for their helpful comments and suggestions. CRediT authorship contribution statement Lei Shen: Conceptualization, Methodology, Software, Formal analysis, Resources, Visualization, Writing – original draft. Jinya Su: Formal analysis, Writing – review & editing. Runtian He: Formal analysis, Investigation. Lijie Song: Formal analysis, Investigation. Rong Huang: Resources, Investigation. Yulin Fang: Resources. Yuyang Song: Resources, Supervision. Baofeng Su: Project administration, Supervision, Funding acquisition, Writing – review & editing.en
dc.description.statusPeer revieweden
dc.format.extent14
dc.format.extent10753239
dc.identifier226585302
dc.identifier9c754495-71d7-457c-8689-2012e7ba7c09
dc.identifier85147089596
dc.identifier.citationShen, L, Su, J, He, R, Song, L, Huang, R, Fang, Y, Song, Y & Su, B 2023, 'Real-time tracking and counting of grape clusters in the field based on channel pruning with YOLOv5s', Computers and Electronics in Agriculture, vol. 206, 107662. https://doi.org/10.1016/j.compag.2023.107662en
dc.identifier.doi10.1016/j.compag.2023.107662
dc.identifier.issn0168-1699
dc.identifier.urihttps://hdl.handle.net/2164/24971
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85147089596&partnerID=8YFLogxKen
dc.identifier.vol206en
dc.language.isoeng
dc.relation.ispartofComputers and Electronics in Agricultureen
dc.subjectChannel pruningen
dc.subjectGrapeen
dc.subjectMultiple object trackingen
dc.subjectReal-time countingen
dc.subjectYOLOv5sen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectHorticultureen
dc.subjectForestryen
dc.subjectAgronomy and Crop Scienceen
dc.subjectComputer Science Applicationsen
dc.subjectSupplementary Dataen
dc.subject.lccQA75en
dc.titleReal-time tracking and counting of grape clusters in the field based on channel pruning with YOLOv5sen
dc.typeJournal articleen

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