Feasibility Study on an Approach for Identifying Corn Kernel Varieties with Seed Coating Agents via Near Infrared Spectroscopy
JIA Shi-qiang1, 2, GUO Ting-ting3, LIU Zhe1, YAN Yan-lu1, AN Dong1, 4*, GU Jian-cheng5, LI Shao-ming1, ZHANG Xiao-dong1, ZHU De-hai1
1. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China 2. Modern Precision Agriculture System Integration Research Key Laboratory of Ministry of Education, Beijing 100083, China 3. National Maize Improvement Center of China, China Agricultural University, Beijing 100193, China 4. Key Laboratory of Agricultural Information Acquisition Technology(Beijing), Ministry of Agriculture, Beijing 100083, China 5. Beijing Kings Nower Seed S&T Co., Ltd., Beijing 100080, China
Abstract：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.
贾仕强1, 2，郭婷婷3，刘 哲1，严衍禄1，安 冬1, 4*，顾建成5，李绍明1，张晓东1, 朱德海1 . 基于近红外光谱的带种衣剂玉米种子真实性鉴定方法研究 [J]. 光谱学与光谱分析, 2014, 34(11): 2984-2988.
JIA Shi-qiang1, 2, GUO Ting-ting3, LIU Zhe1, YAN Yan-lu1, AN Dong1, 4*, GU Jian-cheng5, LI Shao-ming1, ZHANG Xiao-dong1, ZHU De-hai1. Feasibility Study on an Approach for Identifying Corn Kernel Varieties with Seed Coating Agents via Near Infrared Spectroscopy . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(11): 2984-2988.
[1] Dongre A, Parkhi V. J Plant Biochem. Biot. 2005, 14: 53. [2] ZHAO Jiu-ran, SUN Shi-xian, WANG Feng-ge(赵久然，孙世贤，王凤格). Research Trends in China Maize Variety Identification by DNA Fingerprinting（中国玉米品种DNA指纹鉴定研究动态）. Beijing: China Agricultural Science and Technology Press(北京：中国农业科学技术出版社)，2008. [3] YAN Yan-lu, CHEN Bin, ZHU Da-zhou, et al(严衍禄，陈 斌，朱大洲, 等). Near Infrared Spectroscopy—Principles, Technologies and Applications(近红外光谱分析的原理、技术与应用). Beijing: China Light Industry Press(北京：中国轻工业出版社), 2013. [4] LIANG Liang, LIU Zhi-xiao, YANG Min-hua, et al(梁 亮，刘志霄，杨敏华，等). Journal of Infrared and Millimeter Waves(红外与毫米波学报)，2009, 28(5): 353. [5] WANG Shou-jue(王守觉). Acta Electronica Sinica(电子学报)，2002, 30(10): 1417. [6] Agelet L E, Ellis D D, Duvick S, et al. Journal of Cereal Science, 2012, 55: 160. [7] GUO Ting-ting(郭婷婷). Study on the Cultivar Discrimination Method for Maize Seeds Based on Near Infrared Spectroscopy and Biomimetic Pattern Recognition(基于仿生模式识别的玉米种子品种真实性近红外光谱鉴定方法研究). Ph. D. Thesis, Institute of Semiconductors, Chinese Academy of Sciences (中国科学院半导体研究所), 2010.
