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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MDPI AG
2023-06-01
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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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issn | 1424-8220 |
language | English |
last_indexed | 2024-03-11T01:56:52Z |
publishDate | 2023-06-01 |
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series | Sensors |
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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