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Remote Categorization Of Mosquitoes: A New Sensor Prototype

Author(s): Maria Isabel Gonzalez-Perez, Bastian Faulhaber, Mark Williams, Pancraç Villalonga, Joao Encarnação, Núria Busquets, Carles Aranda and Sandra Talavera
Year: 2022
Keywords: automated mosquito surveillance, intelligent sensor, real-time monitoring, machine learning
Abstract:

In the recent years, different types of sensors have been developed for the automatic categorization of mosquitoes. Most of them have been only tested in laboratory conditions so there is a lack of studies in the field. In this study, a new sensor prototype linked to a mosquito trap was tested in the field for the automatic counting and sex categorization of mosquitoes. The sensor showed a strong linear relationship between the real and the estimated values, being useful to evaluate tendencies in mosquito populations of public health importance.

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