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首页> 外文期刊>Journal of spectroscopy >Nondestructive Detection of Blackheart in Potato by Visible/Near Infrared Transmittance Spectroscopy
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Nondestructive Detection of Blackheart in Potato by Visible/Near Infrared Transmittance Spectroscopy

机译：可见/近红外透射光谱法无损检测马铃薯黑心病

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摘要

The possibility of using visibleear infrared (Vis/NIR) transmission spectroscopic technique in the 513–850 nm region coupled with partial least squares-linear discriminant analysis (PLS-LDA) and other chemometric methods to classify potatoes with blackheart was investigated. The discrimination performance of different morphological correction methods, including weight correction, height correction, and volume correction, was compared. The results showed that height corrected transmittance has the best performance, with both calibration and validation sets having a success rate of 97.11%. Out of 1800 wavelengths, only six wavelengths (711, 817, 741, 839, 678, and 698 nm) were selected as the optimum wavelengths for the discrimination of blackheart tubers based on principal component analysis (PCA). The data analysis showed that the overall classification rate by PLS-LDA method decreased from 97.11% to 96.82% in calibration set and from 97.11% to 96.53% in validation set, which was acceptable. The importance of these conclusions may be helpful to transfer Vis/NIR transmission technology from laboratory to industrial application in nondestructive, real-time, or portable measurement of potatoes quality.
机译：研究了在513–850 nm区域中使用可见/近红外（Vis / NIR）透射光谱技术结合偏最小二乘线性判别分析（PLS-LDA）和其他化学计量学方法对黑心马铃薯进行分类的可能性。比较了包括重量校正，高度校正和体积校正在内的不同形态校正方法的判别性能。结果表明，高度校正的透射率具有最佳性能，校准和验证集的成功率均为97.11％。在1800个波长中，只有六个波长（711、817、741、839、678和698nm）被选为基于主成分分析（PCA）鉴别黑心块茎的最佳波长。数据分析表明，PLS-LDA方法的总分类率在校准组中从97.11％降低到96.82％，在验证组中从97.11％降低到96.53％，这是可以接受的。这些结论的重要性可能有助于将Vis / NIR传输技术从实验室应用到工业应用中，以无损，实时或便携式方式测量马铃薯质量。

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