Design and Experiment of a Portable Near-infrared Spectrum Detection System for Fruits and Vegetables Quality-inspection

To meet the practical needs of rapid and non-destructive detection in fruit and vegetable processing, this paper designs a developed portable near-infrared spectrum quality-detection device. In this design, the digital micromirror device of the near-infrared micro-electromechanical system is used as...

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Main Authors: Su Zheng, Lu Zelong, Yang Mingyang, Wu Zhaoxin, Xu Ruoyao
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/49/e3sconf_astfe2020_02009.pdf
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spelling doaj-c7445c98a35b4f9b975a26ab37cbfe512021-04-02T12:34:11ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011890200910.1051/e3sconf/202018902009e3sconf_astfe2020_02009Design and Experiment of a Portable Near-infrared Spectrum Detection System for Fruits and Vegetables Quality-inspectionSu ZhengLu ZelongYang MingyangWu Zhaoxin0Xu RuoyaoXi’an Jiaotong UniversityTo meet the practical needs of rapid and non-destructive detection in fruit and vegetable processing, this paper designs a developed portable near-infrared spectrum quality-detection device. In this design, the digital micromirror device of the near-infrared micro-electromechanical system is used as the light splitting element, and the detection information is obtained by a single-point detector, to realize the miniaturization design of the spectrum detection system and significantly reduce the cost. Moreover, the quality inspection model is established based on the PLS method and the principal component analysis method. From the results of the prediction set, the model established by the logarithm of the original absorption spectrum (1/R) and the PLS method is applicable, with a high correlation coefficient (0.9537) and low corrected root mean square error (0.3776). This research can provide reference data for the design of low-cost, practical, and miniaturized near-infrared spectrum detection systems.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/49/e3sconf_astfe2020_02009.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Su Zheng
Lu Zelong
Yang Mingyang
Wu Zhaoxin
Xu Ruoyao
spellingShingle Su Zheng
Lu Zelong
Yang Mingyang
Wu Zhaoxin
Xu Ruoyao
Design and Experiment of a Portable Near-infrared Spectrum Detection System for Fruits and Vegetables Quality-inspection
E3S Web of Conferences
author_facet Su Zheng
Lu Zelong
Yang Mingyang
Wu Zhaoxin
Xu Ruoyao
author_sort Su Zheng
title Design and Experiment of a Portable Near-infrared Spectrum Detection System for Fruits and Vegetables Quality-inspection
title_short Design and Experiment of a Portable Near-infrared Spectrum Detection System for Fruits and Vegetables Quality-inspection
title_full Design and Experiment of a Portable Near-infrared Spectrum Detection System for Fruits and Vegetables Quality-inspection
title_fullStr Design and Experiment of a Portable Near-infrared Spectrum Detection System for Fruits and Vegetables Quality-inspection
title_full_unstemmed Design and Experiment of a Portable Near-infrared Spectrum Detection System for Fruits and Vegetables Quality-inspection
title_sort design and experiment of a portable near-infrared spectrum detection system for fruits and vegetables quality-inspection
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2020-01-01
description To meet the practical needs of rapid and non-destructive detection in fruit and vegetable processing, this paper designs a developed portable near-infrared spectrum quality-detection device. In this design, the digital micromirror device of the near-infrared micro-electromechanical system is used as the light splitting element, and the detection information is obtained by a single-point detector, to realize the miniaturization design of the spectrum detection system and significantly reduce the cost. Moreover, the quality inspection model is established based on the PLS method and the principal component analysis method. From the results of the prediction set, the model established by the logarithm of the original absorption spectrum (1/R) and the PLS method is applicable, with a high correlation coefficient (0.9537) and low corrected root mean square error (0.3776). This research can provide reference data for the design of low-cost, practical, and miniaturized near-infrared spectrum detection systems.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/49/e3sconf_astfe2020_02009.pdf
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AT yangmingyang designandexperimentofaportablenearinfraredspectrumdetectionsystemforfruitsandvegetablesqualityinspection
AT wuzhaoxin designandexperimentofaportablenearinfraredspectrumdetectionsystemforfruitsandvegetablesqualityinspection
AT xuruoyao designandexperimentofaportablenearinfraredspectrumdetectionsystemforfruitsandvegetablesqualityinspection
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