Geison P Mesquita, Margarita Mulero-Pázmány, Serge A Wich, José Domingo Rodríguez-Teijeiro
{"title":"无人机、智能手机和跟踪标签的实用方法,用于潜在的实时动物跟踪。","authors":"Geison P Mesquita, Margarita Mulero-Pázmány, Serge A Wich, José Domingo Rodríguez-Teijeiro","doi":"10.1093/cz/zoac029","DOIUrl":null,"url":null,"abstract":"<p><p>Drones are increasingly used for fauna monitoring and wildlife tracking; however, their application for wildlife tracking is restricted by developing such systems. Here we explore the potential of drones for wildlife tracking using an off-the-shelf system that is easy to use by non-specialists consisting of a multirotor drone, smartphones, and commercial tracking devices via Bluetooth and Ultra-Wide Band (UWB). We present the system configuration, explore the operational parameters that can affect detection capabilities, and test the effectiveness of the system for locating targets by simulating target animals in savanna and forest environments. The self-contained tracking system was built without hardware or software customization. In 40 tracking flights carried out in the Brazilian Cerrado, we obtained a detection rate of 90% in savanna and 40% in forest areas. Tests for targets in movement (<i>N =</i> 20), the detection rates were 90% in the savanna and 30% in the forest areas. The spatial accuracy obtained by the system was 14.61 m, being significantly more accurate in savanna ( <math> <mstyle> <mrow><mover><mi>x</mi> <mo>¯</mo></mover> </mrow> </mstyle> </math> = 10.53) than in forest areas ( <math> <mstyle> <mrow><mover><mi>x</mi> <mo>¯</mo></mover> </mrow> </mstyle> </math> = 13.06). This approach to wildlife tracking facilitates the use of drones by non-specialists at an affordable cost for conservation projects with limited resources. The reduced size of the tags, the long battery life, and the lower cost compared to GPS-tags open up a range of opportunities for animal tracking.</p>","PeriodicalId":50599,"journal":{"name":"Current Zoology","volume":"69 2","pages":"208-214"},"PeriodicalIF":1.6000,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/89/eb/zoac029.PMC10120989.pdf","citationCount":"4","resultStr":"{\"title\":\"A practical approach with drones, smartphones, and tracking tags for potential real-time animal tracking.\",\"authors\":\"Geison P Mesquita, Margarita Mulero-Pázmány, Serge A Wich, José Domingo Rodríguez-Teijeiro\",\"doi\":\"10.1093/cz/zoac029\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Drones are increasingly used for fauna monitoring and wildlife tracking; however, their application for wildlife tracking is restricted by developing such systems. Here we explore the potential of drones for wildlife tracking using an off-the-shelf system that is easy to use by non-specialists consisting of a multirotor drone, smartphones, and commercial tracking devices via Bluetooth and Ultra-Wide Band (UWB). We present the system configuration, explore the operational parameters that can affect detection capabilities, and test the effectiveness of the system for locating targets by simulating target animals in savanna and forest environments. The self-contained tracking system was built without hardware or software customization. In 40 tracking flights carried out in the Brazilian Cerrado, we obtained a detection rate of 90% in savanna and 40% in forest areas. Tests for targets in movement (<i>N =</i> 20), the detection rates were 90% in the savanna and 30% in the forest areas. The spatial accuracy obtained by the system was 14.61 m, being significantly more accurate in savanna ( <math> <mstyle> <mrow><mover><mi>x</mi> <mo>¯</mo></mover> </mrow> </mstyle> </math> = 10.53) than in forest areas ( <math> <mstyle> <mrow><mover><mi>x</mi> <mo>¯</mo></mover> </mrow> </mstyle> </math> = 13.06). This approach to wildlife tracking facilitates the use of drones by non-specialists at an affordable cost for conservation projects with limited resources. The reduced size of the tags, the long battery life, and the lower cost compared to GPS-tags open up a range of opportunities for animal tracking.</p>\",\"PeriodicalId\":50599,\"journal\":{\"name\":\"Current Zoology\",\"volume\":\"69 2\",\"pages\":\"208-214\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2023-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/89/eb/zoac029.PMC10120989.pdf\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Zoology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1093/cz/zoac029\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ZOOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Zoology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1093/cz/zoac029","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ZOOLOGY","Score":null,"Total":0}
A practical approach with drones, smartphones, and tracking tags for potential real-time animal tracking.
Drones are increasingly used for fauna monitoring and wildlife tracking; however, their application for wildlife tracking is restricted by developing such systems. Here we explore the potential of drones for wildlife tracking using an off-the-shelf system that is easy to use by non-specialists consisting of a multirotor drone, smartphones, and commercial tracking devices via Bluetooth and Ultra-Wide Band (UWB). We present the system configuration, explore the operational parameters that can affect detection capabilities, and test the effectiveness of the system for locating targets by simulating target animals in savanna and forest environments. The self-contained tracking system was built without hardware or software customization. In 40 tracking flights carried out in the Brazilian Cerrado, we obtained a detection rate of 90% in savanna and 40% in forest areas. Tests for targets in movement (N = 20), the detection rates were 90% in the savanna and 30% in the forest areas. The spatial accuracy obtained by the system was 14.61 m, being significantly more accurate in savanna ( = 10.53) than in forest areas ( = 13.06). This approach to wildlife tracking facilitates the use of drones by non-specialists at an affordable cost for conservation projects with limited resources. The reduced size of the tags, the long battery life, and the lower cost compared to GPS-tags open up a range of opportunities for animal tracking.
Current ZoologyAgricultural and Biological Sciences-Animal Science and Zoology
CiteScore
3.20
自引率
9.10%
发文量
111
审稿时长
6 weeks
期刊介绍:
About the Journal
Current Zoology (formerly Acta Zoologica Sinica, founded in 1935) is an open access, bimonthly, peer-reviewed international journal of zoology. It publishes review articles and research papers in the fields of ecology, evolution and behaviour.
Current Zoology is sponsored by Institute of Zoology, Chinese Academy of Sciences, along with the China Zoological Society.