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连续投影算法在油菜叶片氨基酸总量无损检测中的应用
引用本文:刘飞,张帆,方慧,金宗来,周伟军,何勇.连续投影算法在油菜叶片氨基酸总量无损检测中的应用[J].光谱学与光谱分析,2009,29(11):3079-3083.
作者姓名:刘飞  张帆  方慧  金宗来  周伟军  何勇
作者单位:1. 浙江大学生物系统工程与食品科学学院,浙江,杭州,310029
2. 浙江大学农业与生物技术学院,浙江,杭州,310029
基金项目:国家自然科学基金项目,国家科技支撑项目,国家高技术研究发展计划("863"计划)项目,浙江省自然科学基金项目 
摘    要:应用近红外光谱技术结合连续投影算法(SPA)实现了油菜叶片氨基酸总量(TAA)的快速无损检测.对150个油菜样本进行光谱扫描,通过比较不同预处理,建立油菜叶片氨基酸总量预测的最优偏最小二乘法(PLS)模型.同时应用SPA提取有效波长,作为多元线性回归(MLR),PLS和最小二乘-支持向最机(LS-SVM)的输入变量,分别建立SPA-MLR,SPA-PLS和SPA-ISSVM模型.以决定系数(R2)和均方根误差(RMSE)作为模型评价指标.结果表明,SPA-MLR和SPA-PLS均优于全波段的PLS模型,SPA-LS-SVM获得了最优的预测结果,其预测的R2和RMSEP分别为0.983 0和0.396 4,获得了满意的预测精度.说明应用光谱技术枪测油菜叶片TAA是可行的,并能获得满意的预测精度,为进一步应用光谱技术进行油菜生长对逆境胁迫的反应及大田监测提供了新的方法.

关 键 词:近红外光谱  油菜  氨堆酸总量  连续投影算法  最小二乘-支持向量机
收稿时间:2008/12/2

Application of Successive Projections Algorithm to Nondestructive Determination of Total Amino Acids in Oilseed Rape Leaves
LIU Fei,ZHANG Fan,FANG Hui,JIN Zong-lai,ZHOU Wei-jun,HE Yong . College of Biosystems Engineering , Food Science,Zhejiang University,Hangzhou ,China. College of Agriculture , Biotechnology,China.Application of Successive Projections Algorithm to Nondestructive Determination of Total Amino Acids in Oilseed Rape Leaves[J].Spectroscopy and Spectral Analysis,2009,29(11):3079-3083.
Authors:LIU Fei  ZHANG Fan  FANG Hui  JIN Zong-lai  ZHOU Wei-jun  HE Yong College of Biosystems Engineering  Food Science  Zhejiang University  Hangzhou  China College of Agriculture  Biotechnology  China
Institution:LIU Fei1,ZHANG Fan2,FANG Hui1,JIN Zong-lai2,ZHOU Wei-jun2,HE Yong1 1. College of Biosystems Engineering and Food Science,Zhejiang University,Hangzhou 310029,China2. College of Agriculture and Biotechnology,China
Abstract:Near infrared (NIR) spectroscopy combined with successive projections algorithm (SPA) was investigated for the fast and nondestructive determination of total amino acids (TAA) in oilseed rape leaves. Total amino acids are important indices of the growing status of oilseed rape. A total of 150 leave samples were scanned,the calibration set was composed of 80 samples,the validation set was composed of 40 samples and the prediction set was composed of 30 samples. The optimal partial least squares (PLS) model w...
Keywords:Near infrared spectroscopy  Oilseed rape  Total amino acids  Successive projections algorithm  Least square-supportvector machine  
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