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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 consi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120989/ https://www.ncbi.nlm.nih.gov/pubmed/37091991 http://dx.doi.org/10.1093/cz/zoac029 |
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author | Mesquita, Geison P Mulero-Pázmány, Margarita Wich, Serge A Rodríguez-Teijeiro, José Domingo |
author_facet | Mesquita, Geison P Mulero-Pázmány, Margarita Wich, Serge A Rodríguez-Teijeiro, José Domingo |
author_sort | Mesquita, Geison P |
collection | PubMed |
description | 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 ([Formula: see text] = 10.53) than in forest areas ([Formula: see text] = 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. |
format | Online Article Text |
id | pubmed-10120989 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-101209892023-04-22 A practical approach with drones, smartphones, and tracking tags for potential real-time animal tracking Mesquita, Geison P Mulero-Pázmány, Margarita Wich, Serge A Rodríguez-Teijeiro, José Domingo Curr Zool Original Articles 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 ([Formula: see text] = 10.53) than in forest areas ([Formula: see text] = 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. Oxford University Press 2022-04-18 /pmc/articles/PMC10120989/ /pubmed/37091991 http://dx.doi.org/10.1093/cz/zoac029 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Editorial Office, Current Zoology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Articles Mesquita, Geison P Mulero-Pázmány, Margarita Wich, Serge A Rodríguez-Teijeiro, José Domingo A practical approach with drones, smartphones, and tracking tags for potential real-time animal tracking |
title | A practical approach with drones, smartphones, and tracking tags for potential real-time animal tracking |
title_full | A practical approach with drones, smartphones, and tracking tags for potential real-time animal tracking |
title_fullStr | A practical approach with drones, smartphones, and tracking tags for potential real-time animal tracking |
title_full_unstemmed | A practical approach with drones, smartphones, and tracking tags for potential real-time animal tracking |
title_short | A practical approach with drones, smartphones, and tracking tags for potential real-time animal tracking |
title_sort | practical approach with drones, smartphones, and tracking tags for potential real-time animal tracking |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120989/ https://www.ncbi.nlm.nih.gov/pubmed/37091991 http://dx.doi.org/10.1093/cz/zoac029 |
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