A lettuce moisture detection method based on terahertz time-domain spectroscopy
A lettuce moisture detection method based on terahertz time-domain spectroscopy
复制标题
基于太赫兹时域光谱的生菜水分检测方法
DOI：
10.1590/0103-8478cr20210002
复制
发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Zhiyu Zuo
中科院分区：
文献类型：
--
作者：
Xiaodong Zhang;Zhaohui Duan;Hanping Mao;Hongyan Gao;Zhiyu Zuo
摘要：采用太赫兹时域光谱（THz-TDS）技术对生菜水分胁迫进行了定量分析，以实现生菜水分胁迫的无损检测。采用4种梯度莴苣含水量。利用太赫兹- tds系统采集生菜光谱数据，采用S-G导数、S-G平滑和归一化滤波对光谱数据进行去噪。预处理方法的拟合效果优于回归拟合，获得S-G导数拟合效果。然后采用Kennan-Stone算法、基于联合X-Y距离（SPXY）算法的样本集划分和随机抽样（RS）算法划分校准集和验证集，并通过回归拟合优化RS的参数。采用稳定竞争自适应重加权采样、迭代保留信息变量和区间组合优化选择特征波长，在此基础上进行连续投影。在对逐次投影算法进行重新筛选后，采用偏最小二乘回归进行建模。回归系数Rc 2和RMSEC分别达到0.8962和412.5%，验证集的Rp 2和RMSEP分别达到0.8757和528.9%。
ABSTRACT: For non-destructive detection of water stress in lettuce, terahertz time-domain spectroscopy (THz-TDS) was used to quantitatively analyze water content in lettuce. Four gradient lettuce water contents were used . Spectral data of lettuce were collected by a THz-TDS system, and denoised using the S-G derivative, Savitzky-Golay (S-G) smoothing and normalization filtering. The fitting effect of the pretreatment method was better than that of regression fitting, and the S-G derivative fitting effect was obtained. Then a calibration set and a verification set were divided by the Kennan-Stone algorithm, sample set partitioning based on joint X-Y distance (SPXY) algorithm, and the random sampling (RS) algorithm, and the parameters of RS were optimized by regression fitting. The stability competitive adaptive reweighted sampling, iteratively retained information variables and interval combination optimization were used to select characteristic wavelengths, and then continuous projection was used on basis of the three algorithms above. After the successive projection algorithm was re-screened, partial least squares regression was used into modeling. The regression coefficients Rc 2 and RMSEC reach 0.8962 and 412.5% respectively, and Rp 2 and RMSEP of the verification set are 0.8757 and 528.9% respectively.
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影响因子：
6.1
作者：
Galvao, RKH;Araujo, MCU;Saldanha, TCB
通讯作者：
Saldanha, TCB
影响因子：
3.9
作者：
Pagano, Mario;Baldacci, Lorenzo;Corona, Piermaria
通讯作者：
Corona, Piermaria
影响因子：
3.4
作者：
Yuping Yang;S. S. Harsha-S.;Alisha J. Shutler;D. Grischkowsky
通讯作者：
Yuping Yang;S. S. Harsha-S.;Alisha J. Shutler;D. Grischkowsky
DOI：
10.1007/s10762-016-0269-6
发表时间：
2016-03
期刊：
Journal of Infrared, Millimeter, and Terahertz Waves
影响因子：
--
作者：
Víctor Torres;I. Palacios;J. Iriarte;I. Liberal;L. G. Santesteban;C. Miranda;J. Royo;R. Gonzalo-R.-Gonzal
通讯作者：
Víctor Torres;I. Palacios;J. Iriarte;I. Liberal;L. G. Santesteban;C. Miranda;J. Royo;R. Gonzalo-R.-Gonzal
THz-TDS结合模糊规则构建专家系统应用于官方大黄样品的鉴定
影响因子：
3.1
作者：
Zhang, Zhuoyong;Zhang, Zhenwei;Xiang, Yuhong;Harrington, Peter de B.
通讯作者：
Harrington, Peter de B.