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基于近红外光谱苗期玉米叶片叶绿素含量的无损检测方法
引用本文:翟哲,李伟凯.基于近红外光谱苗期玉米叶片叶绿素含量的无损检测方法[J].黑龙江八一农垦大学学报,2014(2):82-85.
作者姓名:翟哲  李伟凯
作者单位:黑龙江八一农垦大学信息技术学院,大庆163319
基金项目:基金项目:黑龙江八一农垦大学研究生创新科研项目(YJSCX2013-16BYND).
摘    要:试验以42片未经处理的苗期玉米叶片为试材,采用近红外光谱检测技术和SNV+Detrending的预处理方法,应用偏最小二乘回归分析方法建立定量分析模型,通过测定近红外光谱图,研究3 300~10 000 cm-1范围内苗期玉米叶片的光谱特性。结果表明,测定苗期玉米叶片叶绿素含量的决定系数R2为0.989,残差均方根RMSE为0.047,采用近红外光谱快速检测苗期玉米叶片叶绿素含量是可行的。

关 键 词:近红外光谱  叶绿素  偏最小二乘回归

Nondestructive Detection of Maize Seedling Leaves Chlorophyll Content Based on Near Infrared Spectroscopy
Zhai Zhe,Li Weikai.Nondestructive Detection of Maize Seedling Leaves Chlorophyll Content Based on Near Infrared Spectroscopy[J].Journal of Heilongjiang August First Land Reclamation University,2014(2):82-85.
Authors:Zhai Zhe  Li Weikai
Institution:(College of Information and Technology, Heilongjiang Bayi Agricultural University, Daqing 163319)
Abstract:This experiment collected 42 untreated maize seedling leaves ,which used near infrared spectroscopy technique and the SNV+ Detrending pretreatment method,and applied partial least squares regression analysis to establish quantitative analysis model in order to research the spectral properties of maize seedling leaves from 3 300-10 000 cm^-1 by measuring near-infrared spectra. The results showed that the coefficient of determination R2 of maize seedling leaves chlorophyll content was 0.989, and root mean square error RMSE was 0.047. Therefore, the method detecting chlorophyll content of the maize seedling leaves was feasible.
Keywords:near infrared spectroscopy  chlorophyll  partial least square regression
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