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Optical Engineering

Recognition of wheat preharvest sprouting based on hyperspectral imaging
Author(s): Qiong Wu; Ji Hua Wang; Dazhou Zhu; Cheng Wang; Zhihong Ma
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Paper Abstract

An imaging spectrometer was used to acquire hyperspectral images of 120 strains of wheat ears and seeds under four different watering treatments. Whether wheat preharvest sprouting occurred could be reflected by spectral characteristics. Therefore, it was possible to judge whether wheat ears sprouted according to changes of spectral curve at 675 nm. According to principal component analysis of mean spectral reflectivity values of wheat seeds, it was found that wheat seeds watered three times every day and wheat seeds watered once every day were significantly different from nonsprouting wheat seeds soaked all day and original dry seeds due to significant sprouting situations, suggesting that imaging spectra can differentiate different extent of wheat preharvest sprouting. Glume had an influence on the hyperspectral images of wheat ears, therefore the hyperspectral images of wheat ears could be used to measure sprouting only when serious sprouting occurred. At an early stage of sprouting, only the hyperspectral images of wheat seeds could be used to analyze the sprouting of wheat.

Paper Details

Date Published: 20 June 2012
PDF: 8 pages
Opt. Eng. 51(11) 111710 doi: 10.1117/1.OE.51.11.111710
Published in: Optical Engineering Volume 51, Issue 11
Show Author Affiliations
Qiong Wu, Jilin Univ. (China)
Ji Hua Wang, Jilin Univ. (China)
Dazhou Zhu, National Engineering Research Ctr. for Information Technology in Agriculture (China)
Cheng Wang, National Engineering Research Ctr. for Information Technology in Agriculture (China)
Zhihong Ma, National Engineering Research Ctr. for Information Technology in Agriculture (China)


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