An Ornithologist’s Guide for Including Machine Learning in a Workflow to Identify a Secretive Focal Species from Recorded Audio

Reliable and efficient avian monitoring tools are required to identify population change and then guide conservation initiatives. Autonomous recording units (ARUs) could increase both the amount and quality of monitoring data, though manual analysis of recordings is time consuming. Machine learning...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Ming Liu, Qiyu Sun, Dustin E. Brewer, Thomas M. Gehring, Jesse Eickholt
Format:	Article
Language:	English
Published:	MDPI AG 2022-08-01
Subjects:	ARUs secretive marsh bird Sora deep learning avian monitoring passive acoustic monitoring
Online Access:	https://www.mdpi.com/2072-4292/14/15/3816