应用近红外光谱鉴定玉米种子品种真实性已有深入的研究。 在实际应用中, 商品玉米种子均涂有种衣剂, 给光谱的采集和分析带来了许多困难。 提出了基于近红外光谱的带种衣剂玉米种子品种真实性快速鉴定方法。 首先讨论了种衣剂对种子近红外光谱的影响, 然后将种子沿着胚面凹陷方向切开, 使用漫反射方式和专用配件测量种子切面的光谱, 以消除种衣剂的影响。 使用支持向量机、 软独立模式识别和仿生模式识别三种方法建立四个玉米品种的真实性鉴定模型, 正确识别率分别达到93%, 95.8%和98%。 品种鉴定模型具有很好的稳健性, 对来自不同产地的同一品种的种子均能够正确识别。

It is generally accepted that near infrared reflectance spectroscopy (NIRS) can be used to identify variety authenticity of bare maize seeds. In practical, maize seeds are covered with seed coating agents. Therefore it’s of huge significance to investigate the feasibility of identifying coated maize seeds by NIRS. This study employed NIRS to quickly determine the variety of coated maize seeds. Influence of seed coating agent on NIR spectra was discussed. The NIR spectra of coated maize seeds were obtained using an innovative method to avoid the impact of the seed coating agent. Coated seeds were cut open, and the sections were scanned by the spectrometer, so as to acquire the information of the seed itself. Then, support vector machine (SVM), soft independent modeling of class analogy (SIMCA), and biomimetic pattern recognition (BPR) was employed to establish the identification model for four maize varieties, and yield 93%, 95.8%, 98% average correct rate respectively. BPR model showed better performance than SVM and SIMCA models. The robustness of identification model was tested by seeds harvested from four regions and model showed good performance.