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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663993/
https://www.ncbi.nlm.nih.gov/pubmed/33209262
http://dx.doi.org/10.1002/ece3.6722

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663993/
https://www.ncbi.nlm.nih.gov/pubmed/33209262
http://dx.doi.org/10.1002/ece3.6722

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