Literature DB >> 17514251

Range-resolved optical detection of honeybees by use of wing-beat modulation of scattered light for locating land mines.

David S Hoffman1, Amin R Nehrir, Kevin S Repasky, Joseph A Shaw, John L Carlsten.   

Abstract

An imaging lidar instrument with the capability of measuring the frequency response of a backscattered return signal up to 3.6 kHz is demonstrated. The instrument uses a commercial microchip frequency-doubled pulsed Nd:YAG laser with a 7.2 kHz pulse repetition rate, a pulse duration of less than 1 ns, and a pulse energy of greater than 10 microJ. A 15.2 cm commercial telescope is used to collect the backscattered signal, and a photomultiplier tube is used to monitor the scattered light. This instrument is designed for range- and angle-resolved optical detection of honeybees for explosives and land-mine detection. The instrument is capable of distinguishing between the scattered light from honeybees and other sources through the frequency content of the return signal caused by the wing-beat modulation of the backscattered light. Detection of honeybees near a bee hive and spatial mapping of honeybee densities near feeders are demonstrated.

Entities:  

Year:  2007        PMID: 17514251     DOI: 10.1364/ao.46.003007

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


  6 in total

1.  Towards Quantitative Optical Cross Sections in Entomological Laser Radar - Potential of Temporal and Spherical Parameterizations for Identifying Atmospheric Fauna.

Authors:  Mikkel Brydegaard
Journal:  PLoS One       Date:  2015-08-21       Impact factor: 3.240

2.  Identification of gravid mosquitoes from changes in spectral and polarimetric backscatter cross sections.

Authors:  Adrien P Genoud; Yunpeng Gao; Gregory M Williams; Benjamin P Thomas
Journal:  J Biophotonics       Date:  2019-07-15       Impact factor: 3.207

3.  System design for inferring colony-level pollination activity through miniature bee-mounted sensors.

Authors:  Haron M Abdel-Raziq; Daniel M Palmer; Phoebe A Koenig; Alyosha C Molnar; Kirstin H Petersen
Journal:  Sci Rep       Date:  2021-02-19       Impact factor: 4.379

4.  Automating insect monitoring using unsupervised near-infrared sensors.

Authors:  Klas Rydhmer; Emily Bick; Laurence Still; Alfred Strand; Rubens Luciano; Salena Helmreich; Brittany D Beck; Christoffer Grønne; Ludvig Malmros; Knud Poulsen; Frederik Elbæk; Mikkel Brydegaard; Jesper Lemmich; Thomas Nikolajsen
Journal:  Sci Rep       Date:  2022-02-16       Impact factor: 4.379

Review 5.  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

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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