A novel optical sensor system for the automatic classification of mosquitoes by genus and sex with high levels of accuracy

A novel optical sensor system for the automatic classification of mosquitoes by genus and sex with high levels of accuracy

Abstract Background Every year, more than 700,000 people die from vector-borne diseases, mainly transmitted by mosquitoes. Vector surveillance plays a major role in the control of these diseases and requires accurate and rapid taxonomical identification. New approaches to mosquito surveillance inclu...

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Bibliographic Details
Main Authors: María I. González-Pérez, Bastian Faulhaber, Mark Williams, Josep Brosa, Carles Aranda, Nuria Pujol, Marta Verdún, Pancraç Villalonga, Joao Encarnação, Núria Busquets, Sandra Talavera
Format: Article
Language:English
Published: BMC 2022-06-01
Series:Parasites & Vectors
Subjects:
Mosquito trap
Automatic classification
Optical sensor
Machine learning
Deep learning
Aedes
Online Access:https://doi.org/10.1186/s13071-022-05324-5

Internet

https://doi.org/10.1186/s13071-022-05324-5

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