烟叶化学成分协调性的近红外光谱检测模型研究  

NIR Spectral Detection Model on the Coordination of Tobacco Chemical Compositions

作　　者：方世诚 唐延林[1] 方智文[1] 魏晓楠[1] 刘芸[1] 

机构地区：[1]贵州大学理学院,贵阳550025

出　　处：《中国农学通报》2015年第26期90-95,共6页Chinese Agricultural Science Bulletin

基　　金：国家自然科学基金"烤烟理化参数的光谱监测机理与方法研究"(11164004);贵州大学校基金"不同钾;氮营养下烤烟理化参数光谱监测模型研究"(研理工2014068)

摘　　要：对烟粉全部近红外光谱数据采取不同的预处理方法来探究烟叶化学成分协调性(施木克值、糖碱比、氮碱比),基于有效波长光谱数据建立相应的近红外光谱的检测模型,并利用偏最小二乘法(PLS)通过训练集的交叉验证建立回归模型。通过全部波长数据中值滤波平滑处理后建立施木克值的回归模型,预测集r=0.9861、RMSE=0.0548;通过全部波长数据卷积平滑二阶求导处理后建立糖碱比的回归模型,预测集r=0.9498、RMSE=0.9095;在对光谱数据处理较优的Norris一阶导数数组基础上选取30个有效波长建立氮碱比的回归模型,预测集r=0.9202、RMSE=0.6947。结果表明:利用近红外光谱可以较好地预测烤烟施木克值、糖碱比和氮碱比。In order to explore the coordination of tobacco chemical compositions（shmuck value, ratio of sugar and nicotine, ratio of nitrogen and nicotine）, the data of near infrared spectrum were pretreated by different methods. The NIR spectral detection models were established based on the effective wavelengths. Theregression model was checked by PLS to cross training set. The regression model of shmuck value was established after median filter smoothing of full spectra with coefficient r=0.9861, RMSE=0.0548 in predictionset. The regression model of the ratio of sugar and nicotine was established after convolution smoothing and 2nd derivative of full spectra with coefficient r=0.9498, RMSE=0.9095 in prediction set. 30 effective wave length data in processing array were selected to set up the regression model of the ratio of nitrogen andnicotine based on the better Norris first derivative array, which had the regression coefficient r=0.9202, RMSE=0.6947. The results indicated that the NIR spectra could better predict the shmuck value, ratio of sugar andnicotine and ratio of nitrogen and nicotine of tobacco.

关 键 词：近红外光谱 糖碱比 氮碱比 施木克值 

分 类 号：S127[农业科学—农业基础科学]