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Field Application of a Vis/NIR Hyperspectral Imaging System for Nondestructive Evaluation of Physicochemical Properties in ‘Madoka’ Peaches
Extensive research has been performed on the in-field nondestructive evaluation (NDE) of the physicochemical properties of ‘Madoka’ peaches, such as chromaticity (a*), soluble solids content (SSC), firmness, and titratable acidity (TA) content. To accomplish this, a snapshot-based hyperspectral imag...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460469/ https://www.ncbi.nlm.nih.gov/pubmed/36079708 http://dx.doi.org/10.3390/plants11172327 |
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author | Jang, Kyeong Eun Kim, Geonwoo Shin, Mi Hee Cho, Jung Gun Jeong, Jae Hoon Lee, Seul Ki Kang, Dongyoung Kim, Jin Gook |
author_facet | Jang, Kyeong Eun Kim, Geonwoo Shin, Mi Hee Cho, Jung Gun Jeong, Jae Hoon Lee, Seul Ki Kang, Dongyoung Kim, Jin Gook |
author_sort | Jang, Kyeong Eun |
collection | PubMed |
description | Extensive research has been performed on the in-field nondestructive evaluation (NDE) of the physicochemical properties of ‘Madoka’ peaches, such as chromaticity (a*), soluble solids content (SSC), firmness, and titratable acidity (TA) content. To accomplish this, a snapshot-based hyperspectral imaging (HSI) approach for filed application was conducted in the visible and near-infrared (Vis/NIR) region. The hyperspectral images of ‘Madoka’ samples were captured and combined with commercial HSI analysis software, and then the physicochemical properties of the ‘Madoka’ samples were predicted. To verify the performance of the field-based HSI application, a lab-based HSI application was also conducted, and their coefficient of determination values (R(2)) were compared. Finally, pixel-based chemical images were produced to interpret the dynamic changes of the physicochemical properties in ‘Madoka’ peach. Consequently, the a* values and SSC content shows statistically significant R(2) values (0.84). On the other hand, the firmness and TA content shows relatively lower accuracy (R(2) = 0.6 to 0.7). Then, the resultant chemical images of the a* values and SSC content were created and could represent their different levels using grey scale gradation. This indicates that the HSI system with integrated HSI software used in this work has promising potential as an in-field NDE for analyzing the physicochemical properties in ‘Madoka’ peaches. |
format | Online Article Text |
id | pubmed-9460469 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94604692022-09-10 Field Application of a Vis/NIR Hyperspectral Imaging System for Nondestructive Evaluation of Physicochemical Properties in ‘Madoka’ Peaches Jang, Kyeong Eun Kim, Geonwoo Shin, Mi Hee Cho, Jung Gun Jeong, Jae Hoon Lee, Seul Ki Kang, Dongyoung Kim, Jin Gook Plants (Basel) Article Extensive research has been performed on the in-field nondestructive evaluation (NDE) of the physicochemical properties of ‘Madoka’ peaches, such as chromaticity (a*), soluble solids content (SSC), firmness, and titratable acidity (TA) content. To accomplish this, a snapshot-based hyperspectral imaging (HSI) approach for filed application was conducted in the visible and near-infrared (Vis/NIR) region. The hyperspectral images of ‘Madoka’ samples were captured and combined with commercial HSI analysis software, and then the physicochemical properties of the ‘Madoka’ samples were predicted. To verify the performance of the field-based HSI application, a lab-based HSI application was also conducted, and their coefficient of determination values (R(2)) were compared. Finally, pixel-based chemical images were produced to interpret the dynamic changes of the physicochemical properties in ‘Madoka’ peach. Consequently, the a* values and SSC content shows statistically significant R(2) values (0.84). On the other hand, the firmness and TA content shows relatively lower accuracy (R(2) = 0.6 to 0.7). Then, the resultant chemical images of the a* values and SSC content were created and could represent their different levels using grey scale gradation. This indicates that the HSI system with integrated HSI software used in this work has promising potential as an in-field NDE for analyzing the physicochemical properties in ‘Madoka’ peaches. MDPI 2022-09-05 /pmc/articles/PMC9460469/ /pubmed/36079708 http://dx.doi.org/10.3390/plants11172327 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Jang, Kyeong Eun Kim, Geonwoo Shin, Mi Hee Cho, Jung Gun Jeong, Jae Hoon Lee, Seul Ki Kang, Dongyoung Kim, Jin Gook Field Application of a Vis/NIR Hyperspectral Imaging System for Nondestructive Evaluation of Physicochemical Properties in ‘Madoka’ Peaches |
title | Field Application of a Vis/NIR Hyperspectral Imaging System for Nondestructive Evaluation of Physicochemical Properties in ‘Madoka’ Peaches |
title_full | Field Application of a Vis/NIR Hyperspectral Imaging System for Nondestructive Evaluation of Physicochemical Properties in ‘Madoka’ Peaches |
title_fullStr | Field Application of a Vis/NIR Hyperspectral Imaging System for Nondestructive Evaluation of Physicochemical Properties in ‘Madoka’ Peaches |
title_full_unstemmed | Field Application of a Vis/NIR Hyperspectral Imaging System for Nondestructive Evaluation of Physicochemical Properties in ‘Madoka’ Peaches |
title_short | Field Application of a Vis/NIR Hyperspectral Imaging System for Nondestructive Evaluation of Physicochemical Properties in ‘Madoka’ Peaches |
title_sort | field application of a vis/nir hyperspectral imaging system for nondestructive evaluation of physicochemical properties in ‘madoka’ peaches |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460469/ https://www.ncbi.nlm.nih.gov/pubmed/36079708 http://dx.doi.org/10.3390/plants11172327 |
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