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Application of Machine Learning Tools for Waterbird Colony Monitoring Provides Gains in Precision and Temporal Efficiency

2026-07-02

Abstract excerpt

<h4>ABSTRACT</h4> Waterbirds serve as important indicators of both aquatic and terrestrial ecosystem health, making effective monitoring essential for tracking population health and identifying potential causes of decline. Drones have provided opportunities to overcome historic waterbird monitoring challenges, but the expertise and time required for manual image analysis creates a major bottleneck. Recent advance...

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Literature Corpus work: d4b2a140-5c9f-50ac-993c-28a18f895879
DOI: 10.64898/2026.07.01.735369

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