The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
AudioMoth: A low-cost acoustic device for monitoring biodiversity and the environment
Open accessAbstract
Environmental sound is a powerful data source for investigating ecosystem health. To capture it, scientists commonly use ruggedized, but expensive acoustic monitoring equipment. In this paper we fully describe the hardware build of a low-cost, small, full-spectrum alternative, called AudioMoth. The credit-card sized device consists of a printed circuit board, micro-controller and a micro-electro-mechanical systems microphone. This simple to construct device facilitates: (1) deployments in remote locations, with a small size and a simple mechanism that allows it to be retrofitted into numerous low-cost ruggedized enclosures; (2) long-term monitoring, with low-power operation; (3) modular expansion, with easy to access general purpose input and output pins; and (4) acoustic detection, with onboard processing power.
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Cites
Emerging opportunities and challenges for passive acoustics in ecological assessment and monitoring
Gibb, R., Browning, E., Glover‐Kapfer, P., & Jones, K. E. (2019) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13101 · Cited by 730
Hill, A. P., Prince, P., Piña Covarrubias, E., Doncaster, C. P., Snaddon, J. L., & Rogers, A. (2018) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12955 · Cited by 507
Self-citationEcoacoustics: the Ecological Investigation and Interpretation of Environmental Sound
Sueur, J., & Farina, A. (2015) · Biosemiotics · doi:10.1007/s12304-015-9248-x · Cited by 485
Solo: an open source, customizable and inexpensive audio recorder for bioacoustic research
Whytock, R. C., & Christie, J. (2016) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12678 · Cited by 122
It's time to listen: there is much to be learned from the sounds of tropical ecosystems
Deichmann, J. L., Acevedo-Charry, O. A., Barclay, L., Buřivalová, Z., Campos‐Cerqueira, M., d’Horta, F. M., Game, E. T., Gottesman, B. L., Hart, P. J., Kalan, A. K., et al. (2018) · Biotropica · doi:10.1111/btp.12593 · Cited by 122
Robust, real‐time and autonomous monitoring of ecosystems with an open, low‐cost, networked device
Sethi, S. S., Ewers, R. M., Jones, N. S., Orme, C. D. L., & Picinali, L. (2018) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13089 · Cited by 114
The sound of a tropical forest
Burivalova, Z., Game, E. T., & Butler, R. A. (2019) · Science · doi:10.1126/science.aav1902 · Cited by 107
Bioacoustic time capsules: Using acoustic monitoring to document biodiversity
Sugai, L. S. M., & Llusia, D. (2018) · Ecological Indicators · doi:10.1016/j.ecolind.2018.12.021 · Cited by 93
Prince, P., Hill, A. P., Piña‐Covarrubias, E., Doncaster, C. P., Snaddon, J. L., & Rogers, A. (2019) · Sensors · doi:10.3390/s19030553 · Cited by 85
Self-citationPassive acoustic monitoring as a law enforcement tool for Afrotropical rainforests
Astaras, C., Linder, J. M., Wrege, P. H., Orume, R. D., & Macdonald, D. W. (2017) · Frontiers in Ecology and the Environment · doi:10.1002/fee.1495 · Cited by 69
Cited by
Passive acoustic monitoring of animal populations with transfer learning
Dufourq, E., Batist, C., Foquet, R., & Durbach, I. (2022) · Ecological Informatics · doi:10.1016/j.ecoinf.2022.101688 · Cited by 97
“The audio data was collected in the Mount Mulanje Biosphere Reserve, Malawi using 10 Audiomoths (Hill et al., 2019).”
MethodSchuller, B. W., Batliner, A., Bergler, C., Mascolo, C., Han, J., Lefter, I., Kaya, H., Amiriparian, S., Baird, A., Stappen, L., et al. (2021) · Interspeech 2021 · doi:10.21437/interspeech.2021-19 · Cited by 89
Chhaya, V., Lahiri, S., Jagan, M. A., Mohan, R., Pathaw, N. A., & Krishnan, A. (2021) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2021.706445 · Cited by 52
Snyder, R., Clark, M., Salas, L., Schackwitz, W., Leland, D., Stephens, T., Erickson, T., Tuffli, T., Tuffli, M., & Clas, K. (2022) · Citizen Science: Theory and Practice · doi:10.5334/cstp.391 · Cited by 12
Whombat: An open‐source audio annotation tool for machine learning assisted bioacoustics
Martínez Balvanera, S., Mac Aodha, O., Weldy, M. J., Pringle, H., Browning, E., & Jones, K. E. (2025) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.14468 · Cited by 11
Metadata
- Authors
- Hill, A. P., Prince, P., Snaddon, J. L., Doncaster, C. P., & Rogers, A.
- Venue
- HardwareX
- Publisher
- Elsevier BV
- Published
- 2019-10
- Volume
- 6
- Pages
- e00073
- ISSN
- 2468-0672 (ISSN-L)
- OpenAlex
- W2957275777
- Cited by
- 282
- References
- 18
- FWCI
- 16.18
- Type
- journal article
- Language
- en
- Open access
- gold
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