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Titre :
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Observer estimation accuracy from drone-based imagery influenced by size of blackbird flocks foraging in sunflower (2025)
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Auteurs :
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Jessica L. Duttenhefner, Auteur ;
Page E. Klug, Auteur
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Type de document :
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Article
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Dans :
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Wilson Journal of Ornithology (The) (137(1) March, 2025)
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Article en page(s) :
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112-122
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Mots-clés:
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Automated counts
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Conteos automatizados
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Icteridae
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ImageJ
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UAS
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drones
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error de observador. Icteridae
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monitoreo
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monitoring
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observer error
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Résumé :
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When human-wildlife conflict exists, estimates are important for quantifying animal abundance and assessing tool efficacy to disperse wildlife and reduce damage. We used drones to capture images of mixed-species blackbird (Icteridae) flocks damaging sunflower (Helianthus annuus) in North Dakota (Aug–Oct). We evaluated the ability of 20 biologists to make estimates close to an automated count (i.e. ImageJ). While estimates were highly correlated (Spearman: R = 0.94, P
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En ligne :
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https://doi.org/10.1080/15594491.2024.2444028
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