Passive acoustic monitoring and convolutional neural networks facilitate high-resolution and broadscale monitoring of a threatened species

Passive acoustic monitoring and convolutional neural networks facilitate high-resolution and broadscale monitoring of a threatened species

Population monitoring is an essential component of biodiversity conservation and management, but low detection probabilities for rare and/or cryptic species makes estimating abundance and occupancy challenging. Passive acoustic monitoring combined with machine learning algorithms represents a potent...

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Bibliographic Details
Main Authors: Adam Duarte, Matthew J. Weldy, Damon B. Lesmeister, Zachary J. Ruff, Julianna M.A. Jenkins, Jonathon J. Valente, Matthew G. Betts
Format: Article
Language:English
Published: Elsevier 2024-05-01
Series:Ecological Indicators
Subjects:
Bioacoustics
Convolutional neural network
Brachyramphus marmoratus
Machine learning
Passive acoustic monitoring
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X24004734

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http://www.sciencedirect.com/science/article/pii/S1470160X24004734

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