Study of Temperature Correction in the PLS Near-Infrared Quantitative Analysis of the Wheat
LUO Chang-bing1,2, CHEN Li-wei3, YAN Yan-lu1,2, WANG Wen-zhen4, WANG Zhong-yi1*
1. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China 2. Research Center for Shi-Nong Lü-Fang, Beijing 100094, China 3. Southwest Scientific and Technical University Computer Institute, Mianyang 621010, China 4. Chinese Institute of Agricultural Sciences Crops Research Institute, Beijing 100081, China
Abstract:The influence of sample temperature on the wheat PLS near infrared (NIR) quantitative analysis was studied with 45 wheat seeds. The original spectra of the wheat seeds were measured at different temperatures. The temperature corrections were subtracted from the original spectra of the samples by using the PLS algorithm. The corrected spectra were used to build the mathematical model of the near-infrared quantitative analysis of the wheat. The results show that the influence of sample temperature on the mathematical model can be eliminated effectively when the temperature correction was performed in the calculation, improving the stability and prediction of this mathematical model.
罗长兵1,2,陈立伟3,严衍禄1,2,王文真4,王忠义1* . 小麦PLS近红外定量分析中温度修正的研究[J]. 光谱学与光谱分析, 2007, 27(10): 1993-1996.
LUO Chang-bing1,2, CHEN Li-wei3, YAN Yan-lu1,2, WANG Wen-zhen4, WANG Zhong-yi1* . Study of Temperature Correction in the PLS Near-Infrared Quantitative Analysis of the Wheat. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(10): 1993-1996.
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