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Optical characterization of agricultural pest insects : a methodological study in the spectral and time domains

Li, Y. Y.; Zhang, H.; Duan, Z.; Lian, M.; Zhao, G. Y.; Sun, X. H.; Hu, J. D.; Gao, L. N.; Feng, H. Q. and Svanberg, S. LU (2016) In Applied Physics B: Lasers and Optics 122(8).
Abstract

Identification of agricultural pest insects is an important aspect in insect research and agricultural monitoring. We have performed a methodological study of how spectroscopic techniques and wing-beat frequency analysis might provide relevant information. An optical system based on the combination of close-range remote sensing and reflectance spectroscopy was developed to study the optical characteristics of different flying insects, collected in Southern China. The results demonstrate that the combination of wing-beat frequency assessment and reflectance spectral analysis has the potential to successfully differentiate between insect species. Further, studies of spectroscopic characteristics of fixed specimen of insects, also from... (More)

Identification of agricultural pest insects is an important aspect in insect research and agricultural monitoring. We have performed a methodological study of how spectroscopic techniques and wing-beat frequency analysis might provide relevant information. An optical system based on the combination of close-range remote sensing and reflectance spectroscopy was developed to study the optical characteristics of different flying insects, collected in Southern China. The results demonstrate that the combination of wing-beat frequency assessment and reflectance spectral analysis has the potential to successfully differentiate between insect species. Further, studies of spectroscopic characteristics of fixed specimen of insects, also from Central China, showed the possibility of refined agricultural pest identification. Here, in addition to reflectance recordings also laser-induced fluorescence spectra were investigated for all the species of insects under study and found to provide complementary information to optically distinguish insects. In order to prove the practicality of the techniques explored, clearly fieldwork aiming at elucidating the variability of parameters, even within species, must be performed.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Applied Physics B: Lasers and Optics
volume
122
issue
8
publisher
Springer
external identifiers
  • scopus:84979256323
  • wos:000382012100003
ISSN
0946-2171
DOI
10.1007/s00340-016-6485-x
language
English
LU publication?
yes
id
3dc15048-d953-4782-b693-c86546f83cf5
date added to LUP
2016-12-15 14:22:45
date last changed
2017-09-18 11:31:30
@article{3dc15048-d953-4782-b693-c86546f83cf5,
  abstract     = {<p>Identification of agricultural pest insects is an important aspect in insect research and agricultural monitoring. We have performed a methodological study of how spectroscopic techniques and wing-beat frequency analysis might provide relevant information. An optical system based on the combination of close-range remote sensing and reflectance spectroscopy was developed to study the optical characteristics of different flying insects, collected in Southern China. The results demonstrate that the combination of wing-beat frequency assessment and reflectance spectral analysis has the potential to successfully differentiate between insect species. Further, studies of spectroscopic characteristics of fixed specimen of insects, also from Central China, showed the possibility of refined agricultural pest identification. Here, in addition to reflectance recordings also laser-induced fluorescence spectra were investigated for all the species of insects under study and found to provide complementary information to optically distinguish insects. In order to prove the practicality of the techniques explored, clearly fieldwork aiming at elucidating the variability of parameters, even within species, must be performed.</p>},
  articleno    = {213},
  author       = {Li, Y. Y. and Zhang, H. and Duan, Z. and Lian, M. and Zhao, G. Y. and Sun, X. H. and Hu, J. D. and Gao, L. N. and Feng, H. Q. and Svanberg, S.},
  issn         = {0946-2171},
  language     = {eng},
  month        = {08},
  number       = {8},
  publisher    = {Springer},
  series       = {Applied Physics B: Lasers and Optics},
  title        = {Optical characterization of agricultural pest insects : a methodological study in the spectral and time domains},
  url          = {http://dx.doi.org/10.1007/s00340-016-6485-x},
  volume       = {122},
  year         = {2016},
}