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...

Descripció completa

Guardat en:
Dades bibliogràfiques
Publicat a:Ecol Evol
Autors principals: 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
Idioma:Inglês
Publicat: John Wiley and Sons Inc. 2020
Matèries:
Original Research
Accés en línia: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
Etiquetes: Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!

Ítems similars