Dynamic Beehive Detection and Tracking System Based on YOLO V5 and Unmanned Aerial Vehicle

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Published in:Journal of biosystems engineering 2022-12, Vol.47 (4), p.510-520
Main Authors: Gao, Peng, Lee, Kangbeen, Kuswidiyanto, Lukas Wiku, Yu, Seung-Hwa, Hu, Kai, Liang, Gaotian, Chen, Yufeng, Wang, Weixing, Liao, Fei, Jeong, Yu Seok, Jeon, Moon-Seok, Choi, Inchan, Han, Xiongzhe
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cited_by cdi_FETCH-LOGICAL-c291t-4cb3c8f752c826cca8318be8292b1f8945e1665ede0bec73a9ff77ed168d2a183
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container_title Journal of biosystems engineering
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creator Gao, Peng
Lee, Kangbeen
Kuswidiyanto, Lukas Wiku
Yu, Seung-Hwa
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Chen, Yufeng
Wang, Weixing
Liao, Fei
Jeong, Yu Seok
Jeon, Moon-Seok
Choi, Inchan
Han, Xiongzhe
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doi_str_mv 10.1007/s42853-022-00166-6
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title Dynamic Beehive Detection and Tracking System Based on YOLO V5 and Unmanned Aerial Vehicle
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