Automated Taxonomic Identification of Insects with Expert-Level Accuracy Using Effective Feature Transfer from Convolutional Networks

Rapid and reliable identification of insects is important in many contexts, from the detection of disease vectors and invasive species to the sorting of material from biodiversity inventories. Because of the shortage of adequate expertise, there has long been an interest in developing automated syst...

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Detalles Bibliográficos
Autores principales: Valan, Miroslav, Makonyi, Karoly, Maki, Atsuto, Vondráček, Dominik, Ronquist, Fredrik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Regular Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6802574/
https://www.ncbi.nlm.nih.gov/pubmed/30825372
http://dx.doi.org/10.1093/sysbio/syz014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6802574/
https://www.ncbi.nlm.nih.gov/pubmed/30825372
http://dx.doi.org/10.1093/sysbio/syz014

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