Fast Prediction of Sugar Content in Dangshan Pear (Pyrus spp.) Using Hyperspectral Imagery Data-Reference-Cited by-同舟云学术

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Fast Prediction of Sugar Content in Dangshan Pear (Pyrus spp.) Using Hyperspectral Imagery Data

Published:2018-03-09 Issue:8 Volume:11 Page:2336-2345
ISSN:1936-9751
Container-title:Food Analytical Methods
language:en
Short-container-title:Food Anal. Methods

Author:

Zhang Dongyan,Xu Lu,Liang Dong^ORCID,Xu Chao,Jin Xiuliang,Weng Shizhuang

Publisher

Springer Science and Business Media LLC

Subject

Safety Research,Safety, Risk, Reliability and Quality,Applied Microbiology and Biotechnology,Food Science,Analytical Chemistry

Link

http://link.springer.com/article/10.1007/s12161-018-1212-3/fulltext.html

Reference37 articles.

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2. Cai W, Li Y, Shao X (2008) A variable selection method based on uninformative variable elimination for multivariate calibration of near-infrared spectra. Chemometr Intell Lab 90:188–194

3. Cao D, Liang Y, Xu Q, Li HD, Chen X (2010) A new strategy of outlier detection for QSAR/QSPR. J Comput Chem 31:592–602

4. Elmasry G, Wang N, Vigneault C (2009) Detecting chilling injury in red delicious apple using hyperspectral imaging and neural networks. Postharvest Biol Tech 52:1–8

5. Fan S, Zhang B, Li J, Huang W, Wang C (2016) Effect of spectrum measurement position variation on the robustness of NIR spectroscopy models for soluble solids content of apple. Biosyst Eng 143:9–19

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