Optical characterization of agricultural pest insects : a methodological study in the spectral and time domains
(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.
(Less)
- author
- 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
- organization
- publishing date
- 2016-08-01
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Applied Physics B: Lasers and Optics
- volume
- 122
- issue
- 8
- article number
- 213
- 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
- 2024-05-31 19:45:46
@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>}},
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}},
doi = {{10.1007/s00340-016-6485-x}},
volume = {{122}},
year = {{2016}},
}