Laser Journal, Volume. 45, Issue 11, 65(2024)

Method for identifying and detecting tea buds based on improved YOLOv8

PAN Haihong1... CHEN Xiliang1, QIAN Guangkun1, SHEN Yili2 and CHEN Lin1,* |Show fewer author(s)
Author Affiliations
  • 1School of Mechanical Engineering, Guangxi University, Nanning 530004, China
  • 2School of Mechanical and Resource Engineering, Wuzhou University, Wuzhou Guangxi 543002, China
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    References(5)

    [9] [9] Girshickr, Donahue J, Darrell T, et al. Rich fea-ture hierarchies for accurate object detection and semantic seg-mentation [C]//2014 IEEE Conference on Computer Vision and Pattern Recognition. Columbus, USA. IEEE, 2014: 580-587.

    [12] [12] Girshick R. Fast R-CNN [C]//2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile. IEEE, 2016:1440-1448.

    [13] [13] Ren S Q, He K M, Girshick R, Sun J. Faster R-CNN: Towards real-time object detection with region proposal networks 2015 IEEE Conference on Computer Vision and Pattern Recognition [C]//Boston, USA: IEEE, 2015: 91-99.

    [14] [14] Redmon J, Divvala S, Girshick R, Farhadi A. You only look once: Unified, real-time object detection IEEE Conference on Computer Vision and Pattern Recognition [C]//Las Vegas, USA: IEEE, 2016:779-788.

    [15] [15] Liu W, Anguelov D, Erhan D, Szegedy C, Reed S, Fu C Y, Berg A C. SSD: Single shot multibox detector European Comference on Computer Vision [C]//Amesterdam, Holland: ECCV, 2016: 21-37.

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    PAN Haihong, CHEN Xiliang, QIAN Guangkun, SHEN Yili, CHEN Lin. Method for identifying and detecting tea buds based on improved YOLOv8[J]. Laser Journal, 2024, 45(11): 65

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    Paper Information

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    Received: Mar. 27, 2024

    Accepted: Jan. 17, 2025

    Published Online: Jan. 17, 2025

    The Author Email: Lin CHEN (gxdxcl@163.com)

    DOI:10.14016/j.cnki.jgzz.2024.11.065

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