Detection of Water Content in Rapeseed Leaves Using Terahertz Spectroscopy.

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.

Plant phenotyping relevance

THz分光と回帰モデリングにより、 rapeseed葉の含水量という植物生理形質を推定する測定手法を開発・比較検証しており、表現型取得が中心である。

Code and data availability

The article describes THz spectroscopy measurements of rapeseed leaf water content with PLS/KPLS/Boosting-PLS modeling, but contains no data availability statement, no public dataset or code deposit, no author URL for assets, and no supplement (pmc-prop-has-supplement no). Only license and ORCID URLs appear, neither of

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