Shazam for bats: Internet of Things for continuous real‐time biodiversity monitoring

Abstract Biodiversity surveys are often required for development projects in cities that could affect protected species such as bats. Bats are important biodiversity indicators of the wider health of the environment and activity surveys of bat species are used to report on the performance of mitigat...

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Autores principales:	Sarah Gallacher, Duncan Wilson, Alison Fairbrass, Daniyar Turmukhambetov, Michael Firman, Stefan Kreitmayer, Oisin Mac Aodha, Gabriel Brostow, Kate Jones
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	Engineering (General). Civil engineering (General) TA1-2040 City planning HT165.5-169.9
Acceso en línea:	https://doaj.org/article/a8aac8840eb444d3a3a98a826af3abde
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spelling	oai:doaj.org-article:a8aac8840eb444d3a3a98a826af3abde2021-11-22T16:30:42ZShazam for bats: Internet of Things for continuous real‐time biodiversity monitoring2631-768010.1049/smc2.12016https://doaj.org/article/a8aac8840eb444d3a3a98a826af3abde2021-09-01T00:00:00Zhttps://doi.org/10.1049/smc2.12016https://doaj.org/toc/2631-7680Abstract Biodiversity surveys are often required for development projects in cities that could affect protected species such as bats. Bats are important biodiversity indicators of the wider health of the environment and activity surveys of bat species are used to report on the performance of mitigation actions. Typically, sensors are used in the field to listen to the ultrasonic echolocation calls of bats or the audio data is recorded for post‐processing to calculate the activity levels. Current methods rely on significant human input and therefore present an opportunity for continuous monitoring and in situ machine learning detection of bat calls in the field. Here, we show the results from a longitudinal study of 15 novel Internet connected bat sensors—Echo Boxes—in a large urban park. The study provided empirical evidence of how edge processing can reduce network traffic and storage demands by several orders of magnitude, making it possible to run continuous monitoring activities for many months including periods which traditionally would not be monitored. Our results demonstrate how the combination of artificial intelligence techniques and low‐cost sensor networks can be used to create novel insights for ecologists and conservation decision‐makers.Sarah GallacherDuncan WilsonAlison FairbrassDaniyar TurmukhambetovMichael FirmanStefan KreitmayerOisin Mac AodhaGabriel BrostowKate JonesWileyarticleEngineering (General). Civil engineering (General)TA1-2040City planningHT165.5-169.9ENIET Smart Cities, Vol 3, Iss 3, Pp 171-183 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Engineering (General). Civil engineering (General) TA1-2040 City planning HT165.5-169.9
spellingShingle	Engineering (General). Civil engineering (General) TA1-2040 City planning HT165.5-169.9 Sarah Gallacher Duncan Wilson Alison Fairbrass Daniyar Turmukhambetov Michael Firman Stefan Kreitmayer Oisin Mac Aodha Gabriel Brostow Kate Jones Shazam for bats: Internet of Things for continuous real‐time biodiversity monitoring
description	Abstract Biodiversity surveys are often required for development projects in cities that could affect protected species such as bats. Bats are important biodiversity indicators of the wider health of the environment and activity surveys of bat species are used to report on the performance of mitigation actions. Typically, sensors are used in the field to listen to the ultrasonic echolocation calls of bats or the audio data is recorded for post‐processing to calculate the activity levels. Current methods rely on significant human input and therefore present an opportunity for continuous monitoring and in situ machine learning detection of bat calls in the field. Here, we show the results from a longitudinal study of 15 novel Internet connected bat sensors—Echo Boxes—in a large urban park. The study provided empirical evidence of how edge processing can reduce network traffic and storage demands by several orders of magnitude, making it possible to run continuous monitoring activities for many months including periods which traditionally would not be monitored. Our results demonstrate how the combination of artificial intelligence techniques and low‐cost sensor networks can be used to create novel insights for ecologists and conservation decision‐makers.
format	article
author	Sarah Gallacher Duncan Wilson Alison Fairbrass Daniyar Turmukhambetov Michael Firman Stefan Kreitmayer Oisin Mac Aodha Gabriel Brostow Kate Jones
author_facet	Sarah Gallacher Duncan Wilson Alison Fairbrass Daniyar Turmukhambetov Michael Firman Stefan Kreitmayer Oisin Mac Aodha Gabriel Brostow Kate Jones
author_sort	Sarah Gallacher
title	Shazam for bats: Internet of Things for continuous real‐time biodiversity monitoring
title_short	Shazam for bats: Internet of Things for continuous real‐time biodiversity monitoring
title_full	Shazam for bats: Internet of Things for continuous real‐time biodiversity monitoring
title_fullStr	Shazam for bats: Internet of Things for continuous real‐time biodiversity monitoring
title_full_unstemmed	Shazam for bats: Internet of Things for continuous real‐time biodiversity monitoring
title_sort	shazam for bats: internet of things for continuous real‐time biodiversity monitoring
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/a8aac8840eb444d3a3a98a826af3abde
work_keys_str_mv	AT sarahgallacher shazamforbatsinternetofthingsforcontinuousrealtimebiodiversitymonitoring AT duncanwilson shazamforbatsinternetofthingsforcontinuousrealtimebiodiversitymonitoring AT alisonfairbrass shazamforbatsinternetofthingsforcontinuousrealtimebiodiversitymonitoring AT daniyarturmukhambetov shazamforbatsinternetofthingsforcontinuousrealtimebiodiversitymonitoring AT michaelfirman shazamforbatsinternetofthingsforcontinuousrealtimebiodiversitymonitoring AT stefankreitmayer shazamforbatsinternetofthingsforcontinuousrealtimebiodiversitymonitoring AT oisinmacaodha shazamforbatsinternetofthingsforcontinuousrealtimebiodiversitymonitoring AT gabrielbrostow shazamforbatsinternetofthingsforcontinuousrealtimebiodiversitymonitoring AT katejones shazamforbatsinternetofthingsforcontinuousrealtimebiodiversitymonitoring
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Shazam for bats: Internet of Things for continuous real‐time biodiversity monitoring

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