Literature DB >> 21061963

Acoustic indicators for targeted detection of stored product and urban insect pests by inexpensive infrared, acoustic, and vibrational detection of movement.

R W Mankin1, R D Hodges, H T Nagle, C Schal, R M Pereira, P G Koehler.   

Abstract

Crawling and scraping activity of three stored-product pests, Sitophilus oryzae (L.) (Coleoptera: Curculionidae), Tribolium castaneum (Herbst) (Coleoptera: Tenebrionidae), and Stegobium paniceum (L.) (Coleoptera: Anobiidae), and two urban pests, Blattella germanica (L.) (Blattodea: Blattellidae) and Cimex lectularius L. (Hemiptera: Cimicidae), were monitored individually by infrared sensors, microphones, and a piezoelectric sensor in a small arena to evaluate effects of insect locomotory behavior and size on the ability of an inexpensively constructed instrument to detect insects and distinguish among different species. Adults of all species could be detected when crawling or scraping. The smallest insects in the study, first-fourth-instar C. lectularius nymphs, could not be detected easily when crawling, but could be detected when scraping. Sound and vibration sensors detected brief, 3-10-ms impulses from all tested species, often grouped in distinctive trains (bursts), typical of impulses in previous acoustic detection experiments. To consider the potential for targeting or focusing detection on particular species of interest, indicators were developed to assess the likelihood of detection of C. lectularius. Statistically significant differences were found between C. lectularius and other species in distributions of three measured variables: infrared signal durations, sound impulse-burst durations, and sound pressure levels (energy) of impulses that best matched an averaged spectrum (profile) of scraping behavior. Thus, there is potential that signals collected by an inexpensive, polymodal-sensor instrument could be used in automated trapping systems to detect a targeted species, 0.1 mg or larger, in environments where servicing of traps is difficult or when timeliness of trapping information is important.

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Mesh:

Year:  2010        PMID: 21061963     DOI: 10.1603/ec10126

Source DB:  PubMed          Journal:  J Econ Entomol        ISSN: 0022-0493            Impact factor:   2.381


  4 in total

Review 1.  Bed bugs: clinical relevance and control options.

Authors:  Stephen L Doggett; Dominic E Dwyer; Pablo F Peñas; Richard C Russell
Journal:  Clin Microbiol Rev       Date:  2012-01       Impact factor: 26.132

Review 2.  Bed bug detection: current technologies and future directions.

Authors:  Rajeev Vaidyanathan; Mark F Feldlaufer
Journal:  Am J Trop Med Hyg       Date:  2013-04       Impact factor: 2.345

3.  Ultra-Low Power Optical Sensor for Xylophagous Insect Detection in Wood.

Authors:  Angel Perles; Ricardo Mercado; Juan V Capella; Juan José Serrano
Journal:  Sensors (Basel)       Date:  2016-11-23       Impact factor: 3.576

4.  Automated Applications of Acoustics for Stored Product Insect Detection, Monitoring, and Management.

Authors:  Richard Mankin; David Hagstrum; Min Guo; Panagiotis Eliopoulos; Anastasia Njoroge
Journal:  Insects       Date:  2021-03-19       Impact factor: 2.769

  4 in total

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