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Automating insect m...
Automating insect monitoring using unsupervised near-infrared sensors
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- Rydhmer, Klas (författare)
- University of Copenhagen
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- Bick, Emily (författare)
- University of Copenhagen
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- Still, Laurence (författare)
- FaunaPhotonics ApS
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visa fler...
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- Strand, Alfred (författare)
- FaunaPhotonics ApS
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- Luciano, Rubens (författare)
- FaunaPhotonics ApS
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- Helmreich, Salena (författare)
- FaunaPhotonics ApS
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- Beck, Brittany D. (författare)
- FaunaPhotonics ApS
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- Grønne, Christoffer (författare)
- FaunaPhotonics ApS
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- Malmros, Ludvig (författare)
- FaunaPhotonics ApS
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- Poulsen, Knud (författare)
- FaunaPhotonics ApS
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- Elbæk, Frederik (författare)
- FaunaPhotonics ApS
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- Brydegaard, Mikkel (författare)
- Lund University,Lunds universitet,Biologiska institutionen,Naturvetenskapliga fakulteten,Förbränningsfysik,Fysiska institutionen,Institutioner vid LTH,Lunds Tekniska Högskola,CAnMove - Centrum för forskning om djurs spridning och flyttning,Forskargrupper vid Lunds universitet,Department of Biology,Faculty of Science,Combustion Physics,Department of Physics,Departments at LTH,Faculty of Engineering, LTH,CAnMove - Centre for Animal Movement Research,Lund University Research Groups,FaunaPhotonics ApS,Norsk Elektro Optikk AS
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- Lemmich, Jesper (författare)
- FaunaPhotonics ApS
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- Nikolajsen, Thomas (författare)
- FaunaPhotonics ApS
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(creator_code:org_t)
- 2022-02-16
- 2022
- Engelska.
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Ingår i: Scientific Reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 12:1
- Relaterad länk:
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http://dx.doi.org/10... (free)
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https://www.nature.c...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Insect monitoring is critical to improve our understanding and ability to preserve and restore biodiversity, sustainably produce crops, and reduce vectors of human and livestock disease. Conventional monitoring methods of trapping and identification are time consuming and thus expensive. Automation would significantly improve the state of the art. Here, we present a network of distributed wireless sensors that moves the field towards automation by recording backscattered near-infrared modulation signatures from insects. The instrument is a compact sensor based on dual-wavelength infrared light emitting diodes and is capable of unsupervised, autonomous long-term insect monitoring over weather and seasons. The sensor records the backscattered light at kHz pace from each insect transiting the measurement volume. Insect observations are automatically extracted and transmitted with environmental metadata over cellular connection to a cloud-based database. The recorded features include wing beat harmonics, melanisation and flight direction. To validate the sensor’s capabilities, we tested the correlation between daily insect counts from an oil seed rape field measured with six yellow water traps and six sensors during a 4-week period. A comparison of the methods found a Spearman’s rank correlation coefficient of 0.61 and a p-value = 0.0065, with the sensors recording approximately 19 times more insect observations and demonstrating a larger temporal dynamic than conventional yellow water trap monitoring.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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Till lärosätets databas
- Av författaren/redakt...
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Rydhmer, Klas
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Bick, Emily
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Still, Laurence
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Strand, Alfred
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Luciano, Rubens
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Helmreich, Salen ...
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visa fler...
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Beck, Brittany D ...
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Grønne, Christof ...
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Malmros, Ludvig
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Poulsen, Knud
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Elbæk, Frederik
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Brydegaard, Mikk ...
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Lemmich, Jesper
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Nikolajsen, Thom ...
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visa färre...
- Om ämnet
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- TEKNIK OCH TEKNOLOGIER
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TEKNIK OCH TEKNO ...
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och Elektroteknik oc ...
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och Signalbehandling
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Scientific Repor ...
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Lunds universitet