Literature DB >> 16572702

Optical detection of honeybees by use of wing-beat modulation of scattered laser light for locating explosives and land mines.

Kevin S Repasky1, Joseph A Shaw, Ryan Scheppele, Christopher Melton, John L Carsten, Lee H Spangler.   

Abstract

An instrument is demonstrated that can be used for optical detection of honeybees in a cluttered environment. The instrument uses a continuous-wave diode laser with a center wavelength of 808 nm and an output power of 28 mW as the laser transmitter source. Light scattered from moving honeybee wings will produce an intensity-modulated signal at a characteristic wing-beat frequency (170-270 Hz) that can be used to detect the honeybees against a cluttered background. The optical detection of honeybees has application in the biological detection of land mines and explosives, as was recently demonstrated.

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Year:  2006        PMID: 16572702     DOI: 10.1364/ao.45.001839

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  6 in total

1.  Analysis of predictor variables for mosquito species identification from dual-wavelength polarization-sensitive lidar measurements.

Authors:  Adrien P Genoud; Roman Basistyy; Gregory M Williams; Benjamin P Thomas
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2018-10-24

Review 2.  Tephritid Fruit Fly Semiochemicals: Current Knowledge and Future Perspectives.

Authors:  Francesca Scolari; Federica Valerio; Giovanni Benelli; Nikos T Papadopoulos; Lucie Vaníčková
Journal:  Insects       Date:  2021-04-30       Impact factor: 2.769

3.  An odor detection system based on automatically trained mice by relative go no-go olfactory operant conditioning.

Authors:  Jing He; JingKuan Wei; Joshua D Rizak; YanMei Chen; JianHong Wang; XinTian Hu; YuanYe Ma
Journal:  Sci Rep       Date:  2015-05-06       Impact factor: 4.379

Review 4.  Bees as Biosensors: Chemosensory Ability, Honey Bee Monitoring Systems, and Emergent Sensor Technologies Derived from the Pollinator Syndrome.

Authors:  Jerry J Bromenshenk; Colin B Henderson; Robert A Seccomb; Phillip M Welch; Scott E Debnam; David R Firth
Journal:  Biosensors (Basel)       Date:  2015-10-30

5.  Observations of movement dynamics of flying insects using high resolution lidar.

Authors:  Carsten Kirkeby; Maren Wellenreuther; Mikkel Brydegaard
Journal:  Sci Rep       Date:  2016-07-04       Impact factor: 4.379

6.  Identification of Flying Insects in the Spatial, Spectral, and Time Domains with Focus on Mosquito Imaging.

Authors:  Yuting Sun; Yueyu Lin; Guangyu Zhao; Sune Svanberg
Journal:  Sensors (Basel)       Date:  2021-05-11       Impact factor: 3.576

  6 in total

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