CAJ | 학술논문

研究可见/近红外漫反射光谱技术根据果皮色泽a*来快速预测磨盘柿成熟度的方法。在全光谱区域对比分析不同处理方法对果皮色泽a*定标模型的影响。结果表明，应用改进偏最小二乘回归算法、一阶导处理和无散射处理所建果皮色泽a*定标模型的预测性能较优，其定标交互验证相关系数（Rcv）和预测相关系数（Rp2）分别为0.9896和0.985，定标交互验证均方根误差（RMSECV）和预测均方根误差（RMSEP）分别为0.5503和0.5859，RPD为11.38。研究表明，可见/近红外漫反射技术对磨盘柿果皮色泽a*的快速无损预测具有可行性。
연구가견/근홍외만반사광보기술근거과피색택a*래쾌속예측마반시성숙도적방법。재전광보구역대비분석불동처리방법대과피색택a*정표모형적영향。결과표명，응용개진편최소이승회귀산법、일계도처리화무산사처리소건과피색택a*정표모형적예측성능교우，기정표교호험증상관계수（Rcv）화예측상관계수（Rp2）분별위0.9896화0.985，정표교호험증균방근오차（RMSECV）화예측균방근오차（RMSEP）분별위0.5503화0.5859，RPD위11.38。연구표명，가견/근홍외만반사기술대마반시과피색택a*적쾌속무손예측구유가행성。
@@@@Using visible and near infrared diffuse reflectance (VIS/NIR) spectroscopy to predict the method of Mopan persimmon maturity rapidly according to peel color a* was studied. In the whole spectral region , calibration results for the peel color a* of fruit were compared with different treatments methods. The results showed that the modified partial least squares (MPLS) model,with respect to the first derivative D1 log (1/R) and None,provided better prediction performance for the peel color a*of fruit,with the correlation coefficient of cross validation of calibration (Rcv)and correlation coefficient of prediction (Rp2),the root mean square error of cross validation of calibration (RMSECV) ,the root mean square error of prediction (RMSEP),and ratio performance deviation (RPD) of 0.989 6,0.985,0.550 3,0.585 9 and 11.38 respectively. The preliminary research on the built models indicated that rapid nondestructive prediction of the peel color a* of Mopan persimmon fruit using VIS/NIR spectroscopy technique was feasible.