{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T15:40:28Z","timestamp":1768837228537,"version":"3.49.0"},"reference-count":16,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2023,6,9]],"date-time":"2023-06-09T00:00:00Z","timestamp":1686268800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The use of non-destructive commercial near-infrared (NIR) spectroscopy to estimate Brix% was verified using all samples of cherry tomato \u2018TY Chika\u2019, currant tomato \u2018Microbeads\u2019, and the M&amp;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 R2 of 0.809 except for \u2018Microbeads\u2019. The Brix% of \u2018TY Chika\u2019 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 \u2018TY Chika\u2019 and M&amp;S cherry tomatoes was closer, indicating a roughly linear correlation between fresh weight and Brix%.<\/jats:p>","DOI":"10.3390\/s23125460","type":"journal-article","created":{"date-parts":[[2023,6,9]],"date-time":"2023-06-09T08:37:33Z","timestamp":1686299853000},"page":"5460","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"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"],"prefix":"10.3390","volume":"23","author":[{"given":"Masazumi","family":"Ino","sequence":"first","affiliation":[{"name":"Faculty of Agriculture, Takasaki University of Health and Welfare, 54 Nakaorui-machi, Takasaki 370-0033, Gunma, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eiichi","family":"Ono","sequence":"additional","affiliation":[{"name":"Faculty of Agriculture, Takasaki University of Health and Welfare, 54 Nakaorui-machi, Takasaki 370-0033, Gunma, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yo","family":"Shimizu","sequence":"additional","affiliation":[{"name":"Faculty of Agriculture, Takasaki University of Health and Welfare, 54 Nakaorui-machi, Takasaki 370-0033, Gunma, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kenji","family":"Omasa","sequence":"additional","affiliation":[{"name":"Faculty of Agriculture, Takasaki University of Health and Welfare, 54 Nakaorui-machi, Takasaki 370-0033, Gunma, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,6,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1080\/00221589.1977.11514768","article-title":"Low water tension in defined growth stages of processing tomato plants and their effects on yield and quality","volume":"52","author":"Rudich","year":"1977","journal-title":"J. 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