Jeonghyeon Pak , Bosung Kim , Chanyoung Ju , Hyoung Il Son
{"title":"基于无人飞行器的入侵飞虫自主追踪系统","authors":"Jeonghyeon Pak , Bosung Kim , Chanyoung Ju , Hyoung Il Son","doi":"10.1016/j.compag.2024.109616","DOIUrl":null,"url":null,"abstract":"<div><div>The Asian hornet or yellow-legged hornet, <em>Vespa velutina nigrithorax</em>, is a global predator of honeybees (<em>Apis mellifera</em> 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.</div></div>","PeriodicalId":50627,"journal":{"name":"Computers and Electronics in Agriculture","volume":"227 ","pages":"Article 109616"},"PeriodicalIF":7.7000,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Unmanned Aerial Vehicle-based Autonomous Tracking System for Invasive Flying Insects\",\"authors\":\"Jeonghyeon Pak , Bosung Kim , Chanyoung Ju , Hyoung Il Son\",\"doi\":\"10.1016/j.compag.2024.109616\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The Asian hornet or yellow-legged hornet, <em>Vespa velutina nigrithorax</em>, is a global predator of honeybees (<em>Apis mellifera</em> 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.</div></div>\",\"PeriodicalId\":50627,\"journal\":{\"name\":\"Computers and Electronics in Agriculture\",\"volume\":\"227 \",\"pages\":\"Article 109616\"},\"PeriodicalIF\":7.7000,\"publicationDate\":\"2024-11-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers and Electronics in Agriculture\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S016816992401007X\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRICULTURE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers and Electronics in Agriculture","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S016816992401007X","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
Unmanned Aerial Vehicle-based Autonomous Tracking System for Invasive Flying Insects
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.
期刊介绍:
Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.