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Microwave imaging for watermelon maturity determination

Microwave imaging technology is a useful method often applied in medical diagnosis and can be used by the food industry to ensure food safety and quality. For fruit, ripeness is the primary characteristic which determines quality for the consumer. This paper proposes a novel microwave imaging system...

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Detalles Bibliográficos
Autores principales: Garvin, Joe, Abushakra, Feras, Choffin, Zachary, Shiver, Bayley, Gan, Yu, Kong, Lingyan, Jeong, Nathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772799/
https://www.ncbi.nlm.nih.gov/pubmed/36569189
http://dx.doi.org/10.1016/j.crfs.2022.100412
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author Garvin, Joe
Abushakra, Feras
Choffin, Zachary
Shiver, Bayley
Gan, Yu
Kong, Lingyan
Jeong, Nathan
author_facet Garvin, Joe
Abushakra, Feras
Choffin, Zachary
Shiver, Bayley
Gan, Yu
Kong, Lingyan
Jeong, Nathan
author_sort Garvin, Joe
collection PubMed
description Microwave imaging technology is a useful method often applied in medical diagnosis and can be used by the food industry to ensure food safety and quality. For fruit, ripeness is the primary characteristic which determines quality for the consumer. This paper proposes a novel microwave imaging system to determine the ripeness of watermelon as a proof of concept. The design employs a circular array with 10 Coplanar Vivaldi antennas offering wide bandwidth, high gain, and high efficiency. S-parameters between antennas are collected quickly via automated channel switching for fast image generation. Eight different watermelon samples of varying ripeness, type, dimensions, and origin are scanned and imaged. Comparisons with sample cross-sections show distinct differences in image characteristics based on watermelon maturity. Sugar concentration of unripe and ripe watermelon is also measured and plotted for further validation of the imaging technique.
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spelling pubmed-97727992022-12-23 Microwave imaging for watermelon maturity determination Garvin, Joe Abushakra, Feras Choffin, Zachary Shiver, Bayley Gan, Yu Kong, Lingyan Jeong, Nathan Curr Res Food Sci Research Article Microwave imaging technology is a useful method often applied in medical diagnosis and can be used by the food industry to ensure food safety and quality. For fruit, ripeness is the primary characteristic which determines quality for the consumer. This paper proposes a novel microwave imaging system to determine the ripeness of watermelon as a proof of concept. The design employs a circular array with 10 Coplanar Vivaldi antennas offering wide bandwidth, high gain, and high efficiency. S-parameters between antennas are collected quickly via automated channel switching for fast image generation. Eight different watermelon samples of varying ripeness, type, dimensions, and origin are scanned and imaged. Comparisons with sample cross-sections show distinct differences in image characteristics based on watermelon maturity. Sugar concentration of unripe and ripe watermelon is also measured and plotted for further validation of the imaging technique. Elsevier 2022-12-07 /pmc/articles/PMC9772799/ /pubmed/36569189 http://dx.doi.org/10.1016/j.crfs.2022.100412 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Garvin, Joe
Abushakra, Feras
Choffin, Zachary
Shiver, Bayley
Gan, Yu
Kong, Lingyan
Jeong, Nathan
Microwave imaging for watermelon maturity determination
title Microwave imaging for watermelon maturity determination
title_full Microwave imaging for watermelon maturity determination
title_fullStr Microwave imaging for watermelon maturity determination
title_full_unstemmed Microwave imaging for watermelon maturity determination
title_short Microwave imaging for watermelon maturity determination
title_sort microwave imaging for watermelon maturity determination
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772799/
https://www.ncbi.nlm.nih.gov/pubmed/36569189
http://dx.doi.org/10.1016/j.crfs.2022.100412
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