Nondestructive Detection of Blackheart in Potato by Visible-Near Infrared Transmittance SpectroscopyReport as inadecuate

Nondestructive Detection of Blackheart in Potato by Visible-Near Infrared Transmittance Spectroscopy - Download this document for free, or read online. Document in PDF available to download.

Journal of Spectroscopy - Volume 2015 2015, Article ID 786709, 9 pages -

Research Article

School of Information Engineering, Zhejiang A&F University, Lin’an, Zhejiang 311300, China

Zhejiang Provincial Key Laboratory of Forestry Intelligent Monitoring and Information Technology, Lin’an, Zhejiang 311300, China

College of Engineering, Huazhong Agricultural University, Wuhan, Hubei 430070, China

School of Agriculture and Food Science, Zhejiang A&F University, Lin’an, Zhejiang 311300, China

Received 20 March 2015; Revised 6 June 2015; Accepted 7 June 2015

Academic Editor: Daniel Cozzolino

Copyright © 2015 Zhu Zhou et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The possibility of using visible-near 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.

Author: Zhu Zhou, Songwei Zeng, Xiaoyu Li, and Jian Zheng



Related documents