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Proceedings Paper

The characteristic analysis of spectral image for cabbage leaves damaged by diamondback moth pests
Author(s): Li-bo Lin; Hong-ning Li; Peng-fei Cao; Feng Qin; Shu-ming Yang; Jie Feng
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Paper Abstract

Cabbage growth and health diagnosis are important parts for cabbage fine planting, spectral imaging technology with the advantages of obtaining spectrum and space information of the target at the same time, which has become a research hotspot at home and abroad. The experiment measures the reflection spectrum at different stages using liquid crystal tunable filter (LCTF) and monochromatic CMOS camera composed of spectral imaging system for cabbage leaves damaged by diamondback moth pests, and analyzes its feature bands and the change of spectral parameters. The study shows that the feature bands of cabbage leaves damaged by diamondback moth pests have a tendency to blue light direction, the red edge towards blue shift, and red valley raising in spectral characteristic parameters, which have a good indication in diagnosing the extent of cabbage damaged by pests. Therefore, it has a unique advantage of monitoring the cabbage leaves damaged by diamondback moth pests by combinating feature bands and spectral characteristic parameters in spectral imaging technology.

Paper Details

Date Published: 19 February 2015
PDF: 7 pages
Proc. SPIE 9449, The International Conference on Photonics and Optical Engineering (icPOE 2014), 94490T (19 February 2015); doi: 10.1117/12.2075908
Show Author Affiliations
Li-bo Lin, Yunnan Normal Univ. (China)
Hong-ning Li, Yunnan Normal Univ. (China)
Peng-fei Cao, Longdong Univ. (China)
Feng Qin, Yunnan Normal Univ. (China)
Shu-ming Yang, Yunnan Normal Univ. (China)
Jie Feng, Yunnan Normal Univ. (China)


Published in SPIE Proceedings Vol. 9449:
The International Conference on Photonics and Optical Engineering (icPOE 2014)
Ailing Tian; Anand Asundi; Weiguo Liu; Chunmin Zhang, Editor(s)

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