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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Single-Kernel FT-NIR Spectroscopy for Detecting Supersweet Corn (Zea mays L. Saccharata Sturt) Seed Viability with Multivariate Data Analysis
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Single-Kernel FT-NIR Spectroscopy for Detecting Supersweet Corn (Zea mays L. Saccharata Sturt) Seed Viability with Multivariate Data Analysis

机译：多核数据的单核FT-NIR光谱法检测超甜玉米（Zea mays L. Saccharata Sturt）种子活力

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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.
机译：作物种子的生存力和活力是评估种子质量的关键指标，而高质量的种子可以提高农业产量。评估种子生存力的常规方法耗时，破坏性且劳动强度大。因此，一种快速无损检测种子活力的技术对农业具有巨大的潜在利益。在这项研究中，使用波长范围为1000-2500 nm的单核傅里叶变换近红外（FT-NIR）光谱来区分有生命力和无生命力的超甜玉米种子。实施了各种预处理算法，结合偏最小二乘判别分析（PLS-DA），以测试分类模型的性能。 FT-NIR光谱技术成功地将可生存种子与由于过热或人为老化而无法生存的种子区分开来。热损伤籽粒和人工老化籽粒的正确分类率均达到98.0％。当将热损伤样品和人工时效样品归为一类时，该综合模型还可以达到98.7％的精度。总体而言，采用多变量数据分析方法的FT-NIR技术显示了超甜玉米种子活力快速无损检测的巨大潜力。

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