Optimal Fluorescence Waveband Determination for Detecting Defective Cherry Tomatoes Using a Fluorescence Excitation-Emission Matrix

A multi-spectral fluorescence imaging technique was used to detect defective cherry tomatoes. The fluorescence excitation and emission matrix was used to measure for defects, sound surface and stem areas to determine the optimal fluorescence excitation and emission wavelengths for discrimination. Tw...

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Main Authors: In-Suck Baek, Moon S. Kim, Hoosoo Lee, Wang-Hee Lee, Byoung-Kwan Cho
Format: Article
Language:English
Published: MDPI AG 2014-11-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/14/11/21483
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author In-Suck Baek
Moon S. Kim
Hoosoo Lee
Wang-Hee Lee
Byoung-Kwan Cho
author_facet In-Suck Baek
Moon S. Kim
Hoosoo Lee
Wang-Hee Lee
Byoung-Kwan Cho
author_sort In-Suck Baek
collection DOAJ
description A multi-spectral fluorescence imaging technique was used to detect defective cherry tomatoes. The fluorescence excitation and emission matrix was used to measure for defects, sound surface and stem areas to determine the optimal fluorescence excitation and emission wavelengths for discrimination. Two-way ANOVA revealed the optimal excitation wavelength for detecting defect areas was 410 nm. Principal component analysis (PCA) was applied to the fluorescence emission spectra of all regions at 410 nm excitation to determine the emission wavelengths for defect detection. The major emission wavelengths were 688 nm and 506 nm for the detection. Fluorescence images combined with the determined emission wavebands demonstrated the feasibility of detecting defective cherry tomatoes with >98% accuracy. Multi-spectral fluorescence imaging has potential utility in non-destructive quality sorting of cherry tomatoes.
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spelling doaj.art-051aaddc89d344e1ac5c916db55883ba2022-12-22T02:52:36ZengMDPI AGSensors1424-82202014-11-011411214832149610.3390/s141121483s141121483Optimal Fluorescence Waveband Determination for Detecting Defective Cherry Tomatoes Using a Fluorescence Excitation-Emission MatrixIn-Suck Baek0Moon S. Kim1Hoosoo Lee2Wang-Hee Lee3Byoung-Kwan Cho4Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 305-764, KoreaEnvironmental Microbiology and Food Safety Laboratory, Agricultural Research Service, U.S. Department of Agriculture, Powder Mill Road, Building #303, BARC-East, Beltsville, MD 20705, USADepartment of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 305-764, KoreaDepartment of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 305-764, KoreaDepartment of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 305-764, KoreaA multi-spectral fluorescence imaging technique was used to detect defective cherry tomatoes. The fluorescence excitation and emission matrix was used to measure for defects, sound surface and stem areas to determine the optimal fluorescence excitation and emission wavelengths for discrimination. Two-way ANOVA revealed the optimal excitation wavelength for detecting defect areas was 410 nm. Principal component analysis (PCA) was applied to the fluorescence emission spectra of all regions at 410 nm excitation to determine the emission wavelengths for defect detection. The major emission wavelengths were 688 nm and 506 nm for the detection. Fluorescence images combined with the determined emission wavebands demonstrated the feasibility of detecting defective cherry tomatoes with >98% accuracy. Multi-spectral fluorescence imaging has potential utility in non-destructive quality sorting of cherry tomatoes.http://www.mdpi.com/1424-8220/14/11/21483cherry tomatoquality sortingdefect detectionhyperspectral imagefluorescence image
spellingShingle In-Suck Baek
Moon S. Kim
Hoosoo Lee
Wang-Hee Lee
Byoung-Kwan Cho
Optimal Fluorescence Waveband Determination for Detecting Defective Cherry Tomatoes Using a Fluorescence Excitation-Emission Matrix
Sensors
cherry tomato
quality sorting
defect detection
hyperspectral image
fluorescence image
title Optimal Fluorescence Waveband Determination for Detecting Defective Cherry Tomatoes Using a Fluorescence Excitation-Emission Matrix
title_full Optimal Fluorescence Waveband Determination for Detecting Defective Cherry Tomatoes Using a Fluorescence Excitation-Emission Matrix
title_fullStr Optimal Fluorescence Waveband Determination for Detecting Defective Cherry Tomatoes Using a Fluorescence Excitation-Emission Matrix
title_full_unstemmed Optimal Fluorescence Waveband Determination for Detecting Defective Cherry Tomatoes Using a Fluorescence Excitation-Emission Matrix
title_short Optimal Fluorescence Waveband Determination for Detecting Defective Cherry Tomatoes Using a Fluorescence Excitation-Emission Matrix
title_sort optimal fluorescence waveband determination for detecting defective cherry tomatoes using a fluorescence excitation emission matrix
topic cherry tomato
quality sorting
defect detection
hyperspectral image
fluorescence image
url http://www.mdpi.com/1424-8220/14/11/21483
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AT hoosoolee optimalfluorescencewavebanddeterminationfordetectingdefectivecherrytomatoesusingafluorescenceexcitationemissionmatrix
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