Abstract：To simplify the prediction model of kiwifruit firmness, SNV was used to preprocess the near infrared(NIR)spectra (1 000-2 500 nm)of kiwifruit. PLS model simplification by optimizing spectral intervals and decreasing the number of factors through net analyte preprocessing(NAP)was carried out. Results showed that the performance of NAP/PLS model is the best. It was achieved with 5 factors in five wavenumber ranges(5 189-5 370, 4 549-4 620, 6 049-6 230, 6 999-7 730, and 6 249-6 614 cm-1). The optimal model was achieved with R2=0.819 41 and RMSECV=0.701 77 in the calibration set and R2=0.780 67 and RMSEP=0.882 71 in the prediction set. This indicates that the model not only may efficiently simplify PLS model, but also may improve precision and predictive ability.
Key words：Near infrared(NIR) spectroscopy;Kiwifruit firmness;Net analyte preprocessing (NAP);Partial least square(PLS)
吕强，汤明杰，赵杰文，蔡健荣*,陈全胜 . 近红外光谱预测猕猴桃硬度模型的简化研究[J]. 光谱学与光谱分析, 2009, 29(07): 1768-1771.
Lü Qiang, TANG Ming-jie, ZHAO Jie-wen, CAI Jian-rong*, CHEN Quan-sheng . Study of Simplification of Prediction Model for Kiwifruit Firmness Using Near Infrared Spectroscopy . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2009, 29(07): 1768-1771.
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