Title :
NIR sensitive wavelength selection based on different methods
Author :
Liu, Xuemei ; Zhang, Hailiang ; Sun, Xudong
Author_Institution :
Sch. of Civil Eng. & Archit., East China Jiao-Tong Univ., Nanchang, China
Abstract :
Near infrared (NIR) sensitive wavelengths of soluble solids content (SSC) were selected based on genetic algorithms (GAs) and interval partial least square (iPLS) in Nanfeng mandarin fruits, the better result was obtained with sensitive wavelengths of 642-787 nm, 861-1152 nm and 1225-1368 nm by iPLS. Then 30 unknown samples were used to evaluate performance of the model built with sensitive wavelengths. The correlation coefficient (R) and root mean square error of prediction (RMSEP) were 0.9500 and 0.5354, respectively. It was demonstrated NIR spectroscopy combined with sensitive wavelengths selection algorithm was a powerful tool to rapidly determine SSC of Nanfeng mandarin fruits nondestructively.
Keywords :
agricultural products; food products; genetic algorithms; infrared spectra; least mean squares methods; NIR sensitive wavelength selection; NIR spectroscopy; Nanfeng mandarin fruits; correlation coefficient; genetic algorithms; interval partial least square; near infrared sensitive wavelengths; root mean square prediction error; soluble solid content; wavelength 1225 nm to 1368 nm; wavelength 642 nm to 787 nm; wavelength 861 nm to 1152 nm; Calibration; Infrared spectra; Least squares methods; Performance evaluation; Predictive models; Root mean square; Solids; Spectroscopy; Sun; Wavelength measurement; GAs; NIR; Nanfeng mandarin fruits; SSC; iPLS;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7737-1
DOI :
10.1109/MACE.2010.5535575
