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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 (Basel, Switzerland) · 9 Jun 2023 · 10.3390/s23125460

Abstract

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 2 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%.

Plant phenotyping relevance

トマト果実のBrix%を非破壊NIR分光で推定する手法を検証し、校正後の推定精度を評価しているため、植物形質取得法が研究の中心です。

abstractThe use of non-destructive commercial near-infrared (NIR) spectroscopy to estimate Brix% was verified
abstractthe 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.

Code and data availability

The paper's phenotype measurements (NIR spectra, Brix%, fresh weight, diameters) are not publicly deposited; the Data Availability Statement says data are available only from the corresponding authors. No public code, models, or datasets are mentioned.

No evidence-backed public reproduction asset is currently recorded.

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