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Advances in automat...
Advances in automatic identification of flying insects using optical sensors and machine learning
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- Kirkeby, Carsten (author)
- University of Copenhagen,FaunaPhotonics ApS
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- Rydhmer, Klas (author)
- FaunaPhotonics ApS
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- Cook, Samantha M. (author)
- Rothamsted Research
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- Strand, Alfred (author)
- FaunaPhotonics ApS
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- Torrance, Martin T. (author)
- Rothamsted Research
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- Swain, Jennifer L. (author)
- Rothamsted Research
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- Prangsma, Jord (author)
- FaunaPhotonics ApS
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- Johnen, Andreas (author)
- BASF Digital Farming GmbH
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- Jensen, Mikkel (author)
- FaunaPhotonics ApS
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- Brydegaard, Mikkel (author)
- Lund University,Lunds universitet,Lunds lasercentrum, LLC,Annan verksamhet, LTH,Lunds Tekniska Högskola,Fysiska institutionen,Institutioner vid LTH,Lund Laser Centre, LLC,Other operations, LTH,Faculty of Engineering, LTH,Department of Physics,Departments at LTH,Faculty of Engineering, LTH,FaunaPhotonics ApS
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- Græsbøll, Kaare (author)
- Technical University of Denmark
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(creator_code:org_t)
- 2021-01-15
- 2021
- English.
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In: Scientific Reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 11:1
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Abstract
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- Worldwide, farmers use insecticides to prevent crop damage caused by insect pests, while they also rely on insect pollinators to enhance crop yield and other insect as natural enemies of pests. In order to target pesticides to pests only, farmers must know exactly where and when pests and beneficial insects are present in the field. A promising solution to this problem could be optical sensors combined with machine learning. We obtained around 10,000 records of flying insects found in oilseed rape (Brassica napus) crops, using an optical remote sensor and evaluated three different classification methods for the obtained signals, reaching over 80% accuracy. We demonstrate that it is possible to classify insects in flight, making it possible to optimize the application of insecticides in space and time. This will enable a technological leap in precision agriculture, where focus on prudent and environmentally-sensitive use of pesticides is a top priority.
Subject headings
- NATURVETENSKAP -- Fysik -- Atom- och molekylfysik och optik (hsv//swe)
- NATURAL SCIENCES -- Physical Sciences -- Atom and Molecular Physics and Optics (hsv//eng)
Publication and Content Type
- art (subject category)
- ref (subject category)
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- By the author/editor
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Kirkeby, Carsten
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Rydhmer, Klas
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Cook, Samantha M ...
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Strand, Alfred
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Torrance, Martin ...
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Swain, Jennifer ...
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show more...
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Prangsma, Jord
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Johnen, Andreas
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Jensen, Mikkel
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Brydegaard, Mikk ...
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Græsbøll, Kaare
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- About the subject
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Physical Science ...
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and Atom and Molecul ...
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Scientific Repor ...
- By the university
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Lund University