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Sensors 2017, 17(12), 2830; doi:10.3390/s17122830

Detection of Water Content in Rapeseed Leaves Using Terahertz Spectroscopy

1
College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
2
State Key Laboratory of Modern Optical Instruments, Zhejiang University, Hangzhou 310027, China
3
Shanghai Key Lab of Modern Optical System, University of Shanghai for Science and Technology No. 516, Jungong Road, Shanghai 200093, China
4
Daheng Scitech Mansion, No. 3 Suzhou Street, Haidian District, Beijing 100080, China
*
Author to whom correspondence should be addressed.
Received: 17 October 2017 / Revised: 24 November 2017 / Accepted: 29 November 2017 / Published: 6 December 2017
(This article belongs to the Special Issue Spectroscopy Based Sensors)
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Abstract

The terahertz (THz) spectra of rapeseed leaves with different water content (WC) were investigated. The transmission and absorption spectra in the range of 0.3–2 THz were measured by using THz time-domain spectroscopy. The mean transmittance and absorption coefficients were applied to analyze the change regulation of WC. In addition, the Savitzky-Golay method was performed to preprocess the spectra. Then, the partial least squares (PLS), kernel PLS (KPLS), and Boosting-PLS were conducted to establish models for predicting WC based on the processed transmission and absorption spectra. Reliable results were obtained by these three methods. KPLS generated the best prediction accuracy of WC. The prediction coefficient correlation (Rval) and root mean square error (RMSEP) of KPLS based on transmission were Rval = 0.8508, RMSEP = 0.1015, and that based on absorption were Rval = 0.8574, RMSEP = 0.1009. Results demonstrated that THz spectroscopy combined with modeling methods provided an efficient and feasible technique for detecting plant physiological information. View Full-Text
Keywords: terahertz spectroscopy; rapeseed leaf; water content; kernel PLS; Boosting-PLS terahertz spectroscopy; rapeseed leaf; water content; kernel PLS; Boosting-PLS
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MDPI and ACS Style

Nie, P.; Qu, F.; Lin, L.; Dong, T.; He, Y.; Shao, Y.; Zhang, Y. Detection of Water Content in Rapeseed Leaves Using Terahertz Spectroscopy. Sensors 2017, 17, 2830.

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