Verification of Commercial Near-Infrared Spectroscopy Measurement and Fresh Weight Diversity Modeling in Brix% for Small Tomato Fruits with Various Cultivars and Growth Conditions

The use of non-destructive commercial near-infrared (NIR) spectroscopy to estimate Brix% was verified using all samples of cherry tomato ‘TY Chika’, currant tomato ‘Microbeads’, and the M&S or market-purchased and supplemental local source tomatoes. Additionally, the relationship between fresh w...

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Main Authors: Masazumi Ino, Eiichi Ono, Yo Shimizu, Kenji Omasa
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/12/5460
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author Masazumi Ino
Eiichi Ono
Yo Shimizu
Kenji Omasa
author_facet Masazumi Ino
Eiichi Ono
Yo Shimizu
Kenji Omasa
author_sort Masazumi Ino
collection DOAJ
description The use of non-destructive commercial near-infrared (NIR) spectroscopy to estimate Brix% was verified using all samples of cherry tomato ‘TY Chika’, currant tomato ‘Microbeads’, and the M&S or market-purchased and supplemental local source tomatoes. Additionally, the relationship between fresh weight and Brix% of all samples was examined. These tomatoes had a diversity of cultivars, growing methods, harvest timing, and production locations and varied widely from 4.0% to 14.2% for Brix% and 1.25 g to 95.84 g for fresh weight. Regardless of the diversity of all samples, it was revealed that the refractometer-based Brix% (y) was practically estimated from the NIR-derived Brix% value (x) using a relationship of y = x (RMSE = 0.747 Brix%) after only a one-time calibration for the NIR spectrometer offset. An inverse relationship between fresh weight and Brix% could be modeled using a hyperbolic curve fit, and the model showed an R<sup>2</sup> of 0.809 except for ‘Microbeads’. The Brix% of ‘TY Chika’ was highest on average (9.5%) and had a large difference from 6.2 to 14.2% among the samples. Data distribution of cherry tomato groups such as ‘TY Chika’ and M&S cherry tomatoes was closer, indicating a roughly linear correlation between fresh weight and Brix%.
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spelling doaj.art-46440eb0ed884920be23f15d7721d8bd2023-11-18T12:31:22ZengMDPI AGSensors1424-82202023-06-012312546010.3390/s23125460Verification of Commercial Near-Infrared Spectroscopy Measurement and Fresh Weight Diversity Modeling in Brix% for Small Tomato Fruits with Various Cultivars and Growth ConditionsMasazumi Ino0Eiichi Ono1Yo Shimizu2Kenji Omasa3Faculty of Agriculture, Takasaki University of Health and Welfare, 54 Nakaorui-machi, Takasaki 370-0033, Gunma, JapanFaculty of Agriculture, Takasaki University of Health and Welfare, 54 Nakaorui-machi, Takasaki 370-0033, Gunma, JapanFaculty of Agriculture, Takasaki University of Health and Welfare, 54 Nakaorui-machi, Takasaki 370-0033, Gunma, JapanFaculty of Agriculture, Takasaki University of Health and Welfare, 54 Nakaorui-machi, Takasaki 370-0033, Gunma, JapanThe use of non-destructive commercial near-infrared (NIR) spectroscopy to estimate Brix% was verified using all samples of cherry tomato ‘TY Chika’, currant tomato ‘Microbeads’, and the M&S or market-purchased and supplemental local source tomatoes. Additionally, the relationship between fresh weight and Brix% of all samples was examined. These tomatoes had a diversity of cultivars, growing methods, harvest timing, and production locations and varied widely from 4.0% to 14.2% for Brix% and 1.25 g to 95.84 g for fresh weight. Regardless of the diversity of all samples, it was revealed that the refractometer-based Brix% (y) was practically estimated from the NIR-derived Brix% value (x) using a relationship of y = x (RMSE = 0.747 Brix%) after only a one-time calibration for the NIR spectrometer offset. An inverse relationship between fresh weight and Brix% could be modeled using a hyperbolic curve fit, and the model showed an R<sup>2</sup> of 0.809 except for ‘Microbeads’. The Brix% of ‘TY Chika’ was highest on average (9.5%) and had a large difference from 6.2 to 14.2% among the samples. Data distribution of cherry tomato groups such as ‘TY Chika’ and M&S cherry tomatoes was closer, indicating a roughly linear correlation between fresh weight and Brix%.https://www.mdpi.com/1424-8220/23/12/5460cherry tomatocurrant tomatonon-destructive measurement
spellingShingle Masazumi Ino
Eiichi Ono
Yo Shimizu
Kenji Omasa
Verification of Commercial Near-Infrared Spectroscopy Measurement and Fresh Weight Diversity Modeling in Brix% for Small Tomato Fruits with Various Cultivars and Growth Conditions
Sensors
cherry tomato
currant tomato
non-destructive measurement
title Verification of Commercial Near-Infrared Spectroscopy Measurement and Fresh Weight Diversity Modeling in Brix% for Small Tomato Fruits with Various Cultivars and Growth Conditions
title_full Verification of Commercial Near-Infrared Spectroscopy Measurement and Fresh Weight Diversity Modeling in Brix% for Small Tomato Fruits with Various Cultivars and Growth Conditions
title_fullStr Verification of Commercial Near-Infrared Spectroscopy Measurement and Fresh Weight Diversity Modeling in Brix% for Small Tomato Fruits with Various Cultivars and Growth Conditions
title_full_unstemmed Verification of Commercial Near-Infrared Spectroscopy Measurement and Fresh Weight Diversity Modeling in Brix% for Small Tomato Fruits with Various Cultivars and Growth Conditions
title_short Verification of Commercial Near-Infrared Spectroscopy Measurement and Fresh Weight Diversity Modeling in Brix% for Small Tomato Fruits with Various Cultivars and Growth Conditions
title_sort verification of commercial near infrared spectroscopy measurement and fresh weight diversity modeling in brix for small tomato fruits with various cultivars and growth conditions
topic cherry tomato
currant tomato
non-destructive measurement
url https://www.mdpi.com/1424-8220/23/12/5460
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