A Lightweight ST-YOLO Based Model for Detection of Tea Bud in Unstructured Natural Environments

被引：0
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作者：
Wen, Xin [1 ]
Yao, Yi [2 ]
Cai, Ying [1 ]
Zhao, Zixing [2 ]
Chen, Tianjiao [2 ]
Zeng, Ziyu [3 ]
Tang, Zhen [3 ]
Gao, Fangzheng [4 ]
机构：
[1] the School of Automation of Nanjing Institute of Technology, Nanjing,211167, China
[2] the School of Automation, Nanjing Institute of Technology, Nanjing,211167, China
[3] the School of Computer engineering, Nanjing Institute of Technology, Nanjing,211167, China
[4] the School of Automation, Nanjing Institute of Technology, Nanjing,211167, China
来源：
IAENG International Journal of Applied Mathematics | 2024年 / 54卷 / 03期
关键词：
This work was supported by Jiangsu Key R&D Project (BE2021016u20135); Postgraduate Research & Practice Innovation Program of Jiangsu Province (SJCX22_1061) and by the Qing Lan project of Jiangsu Province.This work was supported by Jiangsu Key R&D Project (BE2021016-5); Postgraduate Research & Practice Innovation Program of Jiangsu Province (SJCX22 1061) and by the Qing Lan project of Jiangsu Province;
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页码：342 / 349
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