Species‐level image classification with convolutional neural network enables insect identification from habitus images

1. Changes in insect biomass, abundance, and diversity are challenging to track at sufficient spatial, temporal, and taxonomic resolution. Camera traps can capture habitus images of ground‐dwelling insects. However, currently sampling involves manually detecting and identifying specimens. Here, we t...

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Detalles Bibliográficos
Autores principales: Hansen, Oskar L. P., Svenning, Jens‐Christian, Olsen, Kent, Dupont, Steen, Garner, Beulah H., Iosifidis, Alexandros, Price, Benjamin W., Høye, Toke T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6988528/
https://www.ncbi.nlm.nih.gov/pubmed/32015839
http://dx.doi.org/10.1002/ece3.5921

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6988528/
https://www.ncbi.nlm.nih.gov/pubmed/32015839
http://dx.doi.org/10.1002/ece3.5921

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