Shen, LeiSu, JinyaHe, RuntianSong, LijieHuang, RongFang, YulinSong, YuyangSu, Baofeng2025-02-012025-02-012023-03-01Shen, 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.2023.1076620168-1699https://hdl.handle.net/2164/24971This 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.1410753239engChannel pruningGrapeMultiple object trackingReal-time countingYOLOv5sQA75 Electronic computers. Computer scienceHorticultureForestryAgronomy and Crop ScienceComputer Science ApplicationsSupplementary DataQA75Journal article10.1016/j.compag.2023.107662https://www.scopus.com/pages/publications/85147089596