Estimation of apple leaf chlorophyll content based on hyperspectral data

doi:10.3969/j.issn.1004-1524.2017.10.21

›› 2017, Vol. 29 ›› Issue (10): 1742-1748.DOI: 10.3969/j.issn.1004-1524.2017.10.21

• Food Science • Previous Articles Next Articles

Estimation of apple leaf chlorophyll content based on hyperspectral data

YANG Fuqin^{1, 2, 3}, FENG Haikuan^{2, *}, LI Zhenhai², YANG Guijun², DAI Huayang³

1. College of Civil Engineering, Henan Institute of Engineering, Zhengzhou 451191, China;
2. National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China;
3. College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China;

Received:2017-03-02 Online:2017-10-20 Published:2017-12-05

Abstract

Abstract: In the present study, the apple leaf spectral and chlorophyll content of apple leaf were acquired from 2012 to 2013 in Feicheng City, Shandong Province. The correlation between chlorophyll content and the original spectral reflectance or continuum removal spectrum was analyzed to explore the estimation model of apple leaf chlorophyll content. It was shown that the optimal band correlation between apple leaf chlorophyll content and the original spectral reflectance was 553, 711 and 1 301 nm, and the optimal model for apple leaf chlorophyll content was obtained based on 711 nm spectrum, of which the determination coefficient was 0.88. The optimal band correlation between apple leaf chlorophyll content and continuum removal spectrum was 553, 738 and 801 nm, and the optimal model of apple leaf chlorophyll content was obtained based on 738 nm spectrum, of which the determination coefficient was 0.94. According to the sensitive wavelength based on correlation, the apple leaf chlorophyll content prediction model was established based on random forest (RF), of which the determination coefficient was 0.94. The established estimation models for apple leaves chlorophyll content based on random forest, spectral parameters 711 and 738 nm were compared, and it was shown that the optimum model was established by random forest, of which the determination coefficient was 0.54.

Key words: apple leaf, hyperspectral, chlorophyll content, continuum removal, random forest

CLC Number:

S127

YANG Fuqin, FENG Haikuan, LI Zhenhai, YANG Guijun, DAI Huayang. Estimation of apple leaf chlorophyll content based on hyperspectral data[J]. , 2017, 29(10): 1742-1748.

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Estimation of apple leaf chlorophyll content based on hyperspectral data

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