Discrimination of Hover Fly Species and Sexes by Wing Interference Signals

Research output: Contribution to journalArticlepeer-review

Abstract

Remote automated surveillance of insect abundance and diversity is poised to revolutionize insect decline studies. The study reveals spectral analysis of thin‐film wing interference signals (WISs) can discriminate free‐flying insects beyond what can be accomplished by machine vision. Detectable by photonic sensors, WISs are robust indicators enabling species and sex identification. The first quantitative survey of insect wing thickness and modulation through shortwave‐infrared hyperspectral imaging of 600 wings from 30 hover fly species is presented. Fringy spectral reflectance of WIS can be explained by four optical parameters, including membrane thickness. Using a Naïve Bayes Classifier with five parameters that can be retrieved remotely, 91% is achieved accuracy in identification of species and sexes. WIS‐based surveillance is therefore a potent tool for remote insect identification and surveillance.
Original languageEnglish
JournalAdvanced Science
DOIs
Publication statusPublished - 2023 Oct 18

Subject classification (UKÄ)

  • Engineering and Technology
  • Atom and Molecular Physics and Optics

Free keywords

  • insect
  • lidar
  • WIPs

Fingerprint

Dive into the research topics of 'Discrimination of Hover Fly Species and Sexes by Wing Interference Signals'. Together they form a unique fingerprint.

Cite this