Improving AI performance in wildlife monitoring through species and environment-specific training: A case study on desert Bighorn sheep

Improving AI performance in wildlife monitoring through species and environment-specific training: A case study on desert Bighorn sheep

Motion-activated cameras are widely used to monitor wildlife, offering a non-intrusive and cost-effective means to collect high volumes of data. Artificial intelligence (AI) models can expedite image processing, but automated species classifications can be too inaccurate to meet end-users' need...

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Bibliographic Details
Main Authors: Owen S. Okuley, Christina M. Aiello, Will Glad, Kyle Perkins, Richard Ianniello, Neal Darby, Clinton W. Epps
Format: Article
Language:English
Published: Elsevier 2025-11-01
Series:Ecological Informatics
Subjects:
Artificial intelligence
Machine learning
Trail camera
Camera trap
Wildlife image classification
Species detection
Online Access:http://www.sciencedirect.com/science/article/pii/S1574954125001888
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