Detection method of germination rate for brown rice
based on near infrared spectroscopy
1. Jiangsu Province Engineering Laboratory of Modern Facility Agricultural Technology and Equipment, College of Engineering, Nanjing Agricultural University, Nanjing， Jiangsu 210031, China; 2.Key Laboratory of Remote Measurement and Control Technology of Jiangsu Province, College of Instrument Science and Engineering， Southeast University， Nanjing， Jiangsu 210096, China; 3.State Key Laboratory of Crop Genetics & Germplasm Enhancement, College of Agriculture， Nanjing Agricultural University, Nanjing， Jiangsu 210095, China
Abstract：To solve the problems of complex operating and timeconsuming for traditional detection operation of germination rate, a rapid detection method of brown rice germination was proposed based on near infrared spectroscopy. Spectra data of 192 samples for two varieties of brown rice were divided into calibration set with 144 samples and validation set with 48 samples.According to different preprocessing methods and chemometric modeling methods， the spectral differences of samples with different aging time were analyzed to set the prediction model of brown rice germination. The results show that by second derivative, SNV， detrend preprocessing and partial least squares(PLS)， the optimal model is established in the wavelength range from 570 to 1 848 nm. The determination coefficients of calibration set(RC) and validation set(RP) are 0.976 and 0.951,respectively，and the standard deviations of calibration set(SEC) and validation set(SEP) are 1.244 and 1.935. The measurement of brown rice germination rate is feasible by near infrared spectroscopy, and the model of brown rice germination rate prediction has good predictive ability.
卢伟, 李欢欢, 洪德林, 党晓景, 罗慧. 基于稻种糙米近红外光谱分析技术的发芽率检测方法[J]. 江苏大学学报（自然科学版）, 2016, 37(2): 183-187.
LU Wei, LI Huan-Huan, HONG De-Lin, DANG Xiao-Jing, LUO Hui. Detection method of germination rate for brown rice
based on near infrared spectroscopy[J]. Journal of Jiangsu University(Natural Science Eidtion)
, 2016, 37(2): 183-187.
2016, Vol. 37 
