Single-Kernel FT-NIR Spectroscopy for Detecting Supersweet Corn (Zea mays L. Saccharata Sturt) Seed Viability with Multivariate Data Analysis
文献类型： 外文期刊
作者： Qiu, Guangjun 1 ; Lu, Enli 1 ; Lu, Huazhong 2 ; Xu, Sai 3 ; Zeng, Fanguo 1 ; Shui, Qin 1 ;
作者机构： 1.South China Agr Univ, Coll Engn, Guangzhou 510640, Guangdong, Peoples R China
2.Guangdong Acad Agr Sci, Guangzhou 510640, Guangdong, Peoples R China
3.Guangdong Acad Agr Sci, Publ Monitoring Ctr Agroprod, Guangzhou 510640, Guangdong, Peoples R China
关键词： FT-NIR spectroscopy; supersweet corn; seed quality; nondestructive; single kernel; viability; discriminant analysis
期刊名称：SENSORS （ 影响因子：3.576； 五年影响因子：3.735 ）
ISSN： 1424-8220
年卷期： 2018 年 18 卷 4 期
页码：
收录情况： SCI
摘要： The viability and vigor of crop seeds are crucial indicators for evaluating seed quality, and high-quality seeds can increase agricultural yield. The conventional methods for assessing seed viability are time consuming, destructive, and labor intensive. Therefore, a rapid and nondestructive technique for testing seed viability has great potential benefits for agriculture. In this study, single-kernel Fourier transform near-infrared (FT-NIR) spectroscopy with a wavelength range of 1000-2500 nm was used to distinguish viable and nonviable supersweet corn seeds. Various preprocessing algorithms coupled with partial least squares discriminant analysis (PLS-DA) were implemented to test the performance of classification models. The FT-NIR spectroscopy technique successfully differentiated viable seeds from seeds that were nonviable due to overheating or artificial aging. Correct classification rates for both heat-damaged kernels and artificially aged kernels reached 98.0%. The comprehensive model could also attain an accuracy of 98.7% when combining heat-damaged samples and artificially aged samples into one category. Overall, the FT-NIR technique with multivariate data analysis methods showed great potential capacity in rapidly and nondestructively detecting seed viability in supersweet corn.
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