Unmanned Aerial Vehicle-based Autonomous Tracking System for Invasive Flying Insects

被引:0
|
作者
Pak, Jeonghyeon [1 ,2 ]
Kim, Bosung [1 ,2 ]
Ju, Chanyoung [4 ]
Son, Hyoung Il [1 ,2 ,3 ]
机构
[1] Chonnam Natl Univ, Dept Convergence Biosyst Engn, Yongbong Ro 77, Gwangju 61186, South Korea
[2] Chonnam Natl Univ, Interdisciplinary Program IT Bio Convergence Syst, Yongbong Ro 77, Gwangju 61186, South Korea
[3] Chonnam Natl Univ, Res Ctr Biol Cybernet, Yongbong Ro 77, Gwangju 61186, South Korea
[4] Korea Inst Ind Technol, Automot Mat & Components R&D Grp, 6 Cheomdangwagi Ro 208 beon Gil, Gwangju 61012, South Korea
基金
新加坡国家研究基金会;
关键词
Unmanned aerial vehicle; Autonomous tracking; Flying insect; Radio-telemetry; Received signal strength indicator; YELLOW-LEGGED HORNET; VESPA-VELUTINA-NIGRITHORAX; HYMENOPTERA VESPIDAE; LOCALIZATION; LEPELETIER; DISPERSAL; SPREAD; EUROPE; RISK;
D O I
10.1016/j.compag.2024.109616
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
The Asian hornet or yellow-legged hornet, Vespa velutina nigrithorax, is a global predator of honeybees ( Apis mellifera L.) that has become widespread owing to rapid climate change. Herein, we propose a localization system for tracking radio-tagged hornets and discovering hornet hives by combining unmanned aerial vehicles with a trilateration system. By leveraging the homing instinct of hornets, we systematically structured our experiments as a behavioral experiment, ground-truth experiment, and localization experiment. According to the experimental results, we successfully discovered the hives of two of the five hornets tested. Additionally, a comprehensive analysis of the experimental outcomes provided insights into hornet flight patterns and behaviors. The results of this research demonstrate the efficacy of integrating UAVs with radio telemetry for precision object tracking and ecosystem management, offering a robust tool for mitigating the impacts of invasive species on honeybee populations.
引用
收藏
页数:12
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