Detecting Insect Flight Sounds in the Field: Implications for Acoustical Counting of Mosquitoes

dc.contributor.author Raman, D. Raj
dc.contributor.author Gerhardt, Reid
dc.contributor.author Raman, D.
dc.contributor.author Wilkerson, John
dc.contributor.department Agricultural and Biosystems Engineering
dc.date 2018-02-13T03:44:04.000
dc.date.accessioned 2020-06-29T22:40:56Z
dc.date.available 2020-06-29T22:40:56Z
dc.date.copyright Mon Jan 01 00:00:00 UTC 2007
dc.date.embargo 2012-12-07
dc.date.issued 2007-01-01
dc.description.abstract <p>A prototype field-deployable acoustic insect flight detector was constructed from a noise-canceling microphone coupled to an off-the-shelf digital sound recorder capable of 10 h recordings. The system was placed in an urban forest setting 25 times over the course of the summer of 2004, collecting 250 h of ambient sound recordings that were downloaded to a personal computer and used to develop detection routines. These detection routines operated on short segments of sound (0.093 s, corresponding to 4096 samples at 44100 Hz). A variety of approaches were implemented to detect insect flight tones. Simple approaches, involving sensing the fundamental frequency (1st harmonic) and 2nd harmonic, were capable of detecting insects, but generated large numbers of false positives because of other ambient sounds including human voices, birds, frogs, automobiles, aircraft, sirens, and trains. In contrast, combining information from the first four harmonics, from the interharmonic regions, and from the sound envelope, reduced false positives greatly. Specifically, in the 250 h of recordings, 726 clear insect buzzes were detected by the final algorithm, with only 52 false positives (6.5%). Running the final algorithm with all criteria liberalized by 20% increased the number of clear insect buzzes by 8%, to 784, but increased false positives to 471 (28% of total detections). The potential of using this approach for detecting mosquito activity using low-cost sensors is discussed.</p>
dc.description.comments <p>This article is from <em><a href="http://elibrary.asabe.org/abstract.asp?aid=23606&t=3&dabs=Y&redir=&redirType=" target="_blank">Transactions of the ASABE</a></em>, 50, no. 4 (2007): 1481–1485.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/abe_eng_pubs/57/
dc.identifier.articleid 1055
dc.identifier.contextkey 3522282
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath abe_eng_pubs/57
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/1350
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/abe_eng_pubs/57/Raman_2007_DetectingInsectFlight.pdf|||Sat Jan 15 00:58:29 UTC 2022
dc.source.uri 10.13031/2013.23606
dc.subject.disciplines Agriculture
dc.subject.disciplines Bioresource and Agricultural Engineering
dc.subject.disciplines Entomology
dc.subject.keywords Enumeration
dc.subject.keywords Harmonic
dc.subject.keywords Remote sensing
dc.subject.keywords Wingbeat frequency
dc.title Detecting Insect Flight Sounds in the Field: Implications for Acoustical Counting of Mosquitoes
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication 0d20027b-c384-4033-aafe-d7cf62e10240
relation.isOrgUnitOfPublication 8eb24241-0d92-4baf-ae75-08f716d30801
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