DocumentCode :
37391
Title :
Novel Noise-Robust Optoacoustic Sensors to Identify Insects Through Wingbeats
Author :
Potamitis, Ilyas ; Rigakis, Iraklis
Author_Institution :
Dept. of Music Technol. & Acoust., Technol. Educ. Inst. of Crete, Rethymno, Greece
Volume :
15
Issue :
8
fYear :
2015
fDate :
Aug. 2015
Firstpage :
4621
Lastpage :
4631
Abstract :
For certain countries, the production of olive oil and fruits is a significant percentage of the total gross income. Fruit flies affect a yearly crop loss calculated in billions of dollars worldwide. At the top of the hazard scale, certain mosquitoes and flies transmit harmful organisms that cause serious illnesses and even death to humans, pets, and livestock. In this paper, we develop a novel, noise-robust optoacoustic sensors to record insects´ wingbeats. Our experiments with various insects of economic and social importance demonstrate that the sensors deliver high SNR recordings of the wing-flap. This paper emphasizes the development of the sensors and successfully analyzes the wingbeats of many insects of economic importance. Accurate analysis of insects´ wing-flaps will allow the embedding of the sensors in common traps. The goal is to achieve species classification and remote monitoring of crops, which is currently carried out manually, and to develop reliable decision making regarding the initiation of large-scale spraying.
Keywords :
decision making; motion measurement; optical sensors; optoelectronic devices; decision making; electronic insect traps; insect wingbeats; noise-robust optoacoustic sensors; precision agriculture; species classification; Band-pass filters; Insects; Microphones; Optical filters; Optical sensors; Receivers; Optoelectronic sensors; electronic insect traps; optoelectronic sensors; precision agriculture;
fLanguage :
English
Journal_Title :
Sensors Journal, IEEE
Publisher :
ieee
ISSN :
1530-437X
Type :
jour
DOI :
10.1109/JSEN.2015.2424924
Filename :
7091854
Link To Document :
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