Recognition of wheat preharvest sprouting based on hyperspectral imaging

Qiong Wu; Ji Hua Wang; Dazhou Zhu; Cheng Wang; Zhihong Ma

doi:10.1117/1.OE.51.11.111710

20 June 2012 Recognition of wheat preharvest sprouting based on hyperspectral imaging

Qiong Wu, Ji Hua Wang, Dazhou Zhu, Cheng Wang, Zhihong Ma

Author Affiliations +

Optical Engineering, Vol. 51, Issue 11, 111710 (June 2012). https://doi.org/10.1117/1.OE.51.11.111710

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.

Citation Download Citation

Qiong Wu, Ji Hua Wang, Dazhou Zhu, Cheng Wang, and Zhihong Ma "Recognition of wheat preharvest sprouting based on hyperspectral imaging," Optical Engineering 51(11), 111710 (20 June 2012). https://doi.org/10.1117/1.OE.51.11.111710

Published: 20 June 2012

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