Study on Vis/NIR Spectra Detecting System for Watermelons and Quality Predicting in Motion
TIAN Hai-qing1,2, YING Yi-bin1*, XU Hui-rong1, LU Hui-shan1, XIE Li-juan1
1. College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029,China 2. College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Huhhot 010018, China
Abstract:To make Vis/NIR diffuse transmittance technique applied to quality prediction for watermelon in motion, the dynamic spectra detecting system was rebuilt. Spectra detecting experiments were conducted and the effects of noises caused by motion on spectra were analyzed. Then the least-square filtering method and Norris differential filtering method were adopted to eliminate the effects of noise on spectra smoothing, and statistical models between the spectra and soluble solids content were developed using partial least square method. The performance of different models was assessed in terms of correlation coefficients (r) of validation set of samples, root mean square errors of calibration (RMSEC) and root mean square errors of prediction (RMSEP). Calibration and prediction results indicated that Norris differential method was an effective method to smooth spectra and improve calibration and prediction results, especially, with r of 0.895, RMSEC of 0.549, and RMSEP of 0.760 for the calibration and prediction result of the first derivative spectra.
田海清1, 2,应义斌1*,徐惠荣1,陆辉山1,谢丽娟1 . 运动西瓜可见/近红外光谱采集系统及品质检测试验研究[J]. 光谱学与光谱分析, 2009, 29(06): 1536-1540.
TIAN Hai-qing1,2, YING Yi-bin1*, XU Hui-rong1, LU Hui-shan1, XIE Li-juan1 . Study on Vis/NIR Spectra Detecting System for Watermelons and Quality Predicting in Motion . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2009, 29(06): 1536-1540.
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