Camera settings and biome influence the accuracy of citizen science approaches to camera trap image classification

Scientists are increasingly using volunteer efforts of citizen scientists to classify images captured by motion‐activated trail cameras. The rising popularity of citizen science reflects its potential to engage the public in conservation science and accelerate processing of the large volume of image...

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Bibliografiske detaljer
Udgivet i:Ecol Evol
Main Authors: Egna, Nicole, O'Connor, David, Stacy‐Dawes, Jenna, Tobler, Mathias W., Pilfold, Nicholas, Neilson, Kristin, Simmons, Brooke, Davis, Elizabeth Oneita, Bowler, Mark, Fennessy, Julian, Glikman, Jenny Anne, Larpei, Lexson, Lekalgitele, Jesus, Lekupanai, Ruth, Lekushan, Johnson, Lemingani, Lekuran, Lemirgishan, Joseph, Lenaipa, Daniel, Lenyakopiro, Jonathan, Lesipiti, Ranis Lenalakiti, Lororua, Masenge, Muneza, Arthur, Rabhayo, Sebastian, Ole Ranah, Symon Masiaine, Ruppert, Kirstie, Owen, Megan
Format: Artigo
Sprog:Inglês
Udgivet: John Wiley and Sons Inc. 2020
Fag:
Original Research
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7663993/
https://ncbi.nlm.nih.gov/pubmed/33209262
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/ece3.6722
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