Flying Insect Detection & Classification With Inexpensive Sensors l Protocol Preview

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Flying Insect Detection and Classification with Inexpensive Sensors - a 2 minute Preview of the Experimental Protocol

Yanping Chen, Adena Why, Gustavo Batista, Agenor Mafra-Neto, Eamonn Keogh
University of California, Riverside, Department of Computer Science and Engineering; University of California, Riverside, Department of Entomology; University of São Paulo - USP, Institute of Mathematics and Computer Sciences; ISCA Technologies,;

We proposed a system that uses inexpensive, noninvasive pseudo-acoustic optical sensors to automatically and accurately detect, count, and classify flying insects based on their flying sound.

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