高强高效近红外光源的不同光源强度对玉米杂交种鉴别的影响

发布时间：2018-03-28 03:23

  本文选题：玉米　切入点：近红外光谱　出处：《光谱学与光谱分析》2017年05期

【摘要】：以2009年产自海南的农华101玉米种子作为研究对象,基于近红外漫透射光谱法(波长范围908.1~1 677.2nm),研究了一种高强高效近红外光源在不同光源电压以及光源至光谱仪不同距离两种条件下对玉米杂交种鉴别的影响。对光谱进行一阶导数、矢量归一化的预处理后,使用主成分分析(PCA)和正交线性判别分析(OLDA)提取光谱特征,使用支持向量机(SVM)分别建立种子纯度鉴定模型,统计不同实验条件下的识别率。结果表明,在电压较低或者光源至光谱仪的距离较大的时候,光源强度较低,得到的光谱曲线有较多的毛刺,此时的识别率较低,增大电压或者降低光源至光谱仪的距离时,光谱曲线变得较为平滑,识别率明显升高,说明在一定范围内增大光源强度会提高模型的正确鉴定率。
[Abstract]:In the 2009 annual Hainan Nonghua 101 corn seeds as the research object, near infrared transmission spectroscopy (based on the wavelength range of 908.1~1 677.2nm), studied a kind of high efficient near infrared light source effects on maize hybrid identification in different light source voltage and source to the spectrometer in different distance under two conditions. The first derivative the spectral vector normalization preprocessing, using principal component analysis (PCA) and orthogonal linear discriminant analysis (OLDA) to extract spectral feature, using support vector machine (SVM) were established model for seed purity identification, the recognition rate under different experimental conditions. The results show that the voltage is low or the light source and a spectrometer the distance is larger when the light intensity is low, the spectral curves have more burr, the low recognition rate, increase or reduce the voltage source to the spectrometer distance, spectral curve It is more smooth and the recognition rate increases obviously. It shows that increasing the light intensity within a certain range will improve the correct identification rate of the model.

【作者单位】： 中国农业大学信息与电气工程学院;农业部农业信息获取技术重点实验室;
【基金】：大北农青年学者研究计划项目(1081-2413001)资助
【分类号】：O657.33;S513
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本文编号：1674550