Communications of the ACM
UOC Team Develops Neural Network to Identify Tiger Mosquitoes
Researchers have developed a method that can learn to identify mosquitoes using a large number of images that volunteers uploaded to the Mosquito Alert platform.
Credit: FotoshopTofs/Pixabay
A new technique can learn to identify tiger mosquitoes using a large set of images captured on mobile phones and uploaded to the Mosquito Alert platform by volunteers.
Scientists at Spain's Universitat Oberta de Catalunya (UOC) engineered a deep neural network to differentiate the morphological similarities of diverse mosquito species.
UOC's Gereziher Adhane said the network performs as well or nearly as well as human experts, and can process vast volumes of images.
Adhane also said the algorithm, with modest tweaking, could work with mobile applications.
The neural network, said Adhane, can “make predictions about images of mosquitoes taken using smartphones efficiently and in real time, as has happened with the Mosquito Alert project."
From Universitat Oberta de Catalunya (Spain)
View Full Article
Abstracts Copyright © 2021 SmithBucklin, Washington, DC, USA
No entries found