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Elephants and algorithms: a review of the current and future role of AI in elephant monitoring

Artificial intelligence (AI) and machine learning (ML) present revolutionary opportunities to enhance our understanding of animal behaviour and conservation strategies. Using elephants, a crucial species in Africa and Asia’s protected areas, as our focal point, we delve into the role of AI and ML in...

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Detalles Bibliográficos
Autores principales: Brickson, Leandra, Zhang, Libby, Vollrath, Fritz, Douglas-Hamilton, Iain, Titus, Alexander J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10645515/
https://www.ncbi.nlm.nih.gov/pubmed/37963556
http://dx.doi.org/10.1098/rsif.2023.0367
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author Brickson, Leandra
Zhang, Libby
Vollrath, Fritz
Douglas-Hamilton, Iain
Titus, Alexander J.
author_facet Brickson, Leandra
Zhang, Libby
Vollrath, Fritz
Douglas-Hamilton, Iain
Titus, Alexander J.
author_sort Brickson, Leandra
collection PubMed
description Artificial intelligence (AI) and machine learning (ML) present revolutionary opportunities to enhance our understanding of animal behaviour and conservation strategies. Using elephants, a crucial species in Africa and Asia’s protected areas, as our focal point, we delve into the role of AI and ML in their conservation. Given the increasing amounts of data gathered from a variety of sensors like cameras, microphones, geophones, drones and satellites, the challenge lies in managing and interpreting this vast data. New AI and ML techniques offer solutions to streamline this process, helping us extract vital information that might otherwise be overlooked. This paper focuses on the different AI-driven monitoring methods and their potential for improving elephant conservation. Collaborative efforts between AI experts and ecological researchers are essential in leveraging these innovative technologies for enhanced wildlife conservation, setting a precedent for numerous other species.
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spelling pubmed-106455152023-11-15 Elephants and algorithms: a review of the current and future role of AI in elephant monitoring Brickson, Leandra Zhang, Libby Vollrath, Fritz Douglas-Hamilton, Iain Titus, Alexander J. J R Soc Interface Review Articles Artificial intelligence (AI) and machine learning (ML) present revolutionary opportunities to enhance our understanding of animal behaviour and conservation strategies. Using elephants, a crucial species in Africa and Asia’s protected areas, as our focal point, we delve into the role of AI and ML in their conservation. Given the increasing amounts of data gathered from a variety of sensors like cameras, microphones, geophones, drones and satellites, the challenge lies in managing and interpreting this vast data. New AI and ML techniques offer solutions to streamline this process, helping us extract vital information that might otherwise be overlooked. This paper focuses on the different AI-driven monitoring methods and their potential for improving elephant conservation. Collaborative efforts between AI experts and ecological researchers are essential in leveraging these innovative technologies for enhanced wildlife conservation, setting a precedent for numerous other species. The Royal Society 2023-11-15 /pmc/articles/PMC10645515/ /pubmed/37963556 http://dx.doi.org/10.1098/rsif.2023.0367 Text en © 2023 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Review Articles
Brickson, Leandra
Zhang, Libby
Vollrath, Fritz
Douglas-Hamilton, Iain
Titus, Alexander J.
Elephants and algorithms: a review of the current and future role of AI in elephant monitoring
title Elephants and algorithms: a review of the current and future role of AI in elephant monitoring
title_full Elephants and algorithms: a review of the current and future role of AI in elephant monitoring
title_fullStr Elephants and algorithms: a review of the current and future role of AI in elephant monitoring
title_full_unstemmed Elephants and algorithms: a review of the current and future role of AI in elephant monitoring
title_short Elephants and algorithms: a review of the current and future role of AI in elephant monitoring
title_sort elephants and algorithms: a review of the current and future role of ai in elephant monitoring
topic Review Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10645515/
https://www.ncbi.nlm.nih.gov/pubmed/37963556
http://dx.doi.org/10.1098/rsif.2023.0367
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