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Prediction of soluble solids content using near-infrared spectra and optical properties of intact apple and pulp applying PLSR and CNN.

Spectrochimica Acta Part A - Molecular and Biomolecular Spectroscopy, 2023
Soluble solids content (SSC) is one of the most important internal quality attributes of fruit and could be predicted using near-infrared (NIR) spectra and optical properties. Partial least squares regression (PLSR) is a conventional regression method in
Shuochong Zeng   +5 more
semanticscholar   +1 more source

Improving the prediction performance of soluble solids content (SSC) in kiwifruit by means of near-infrared spectroscopy using slope/bias correction and calibration updating.

Food Research International, 2023
Soluble solids content (SSC) is particularly important for kiwifruit, as it not only determines its flavor, but also helps assess its maturity. Visible/near-infrared (Vis/NIR) spectroscopy has been widely used to evaluate the SSC of kiwifruit. Still, the
S. Tian, Wei Liu, Huirong Xu
semanticscholar   +1 more source

Non-destructive and fast method of mapping the distribution of the soluble solids content and pH in kiwifruit using object rotation near-infrared hyperspectral imaging approach

, 2021
This work aimed to offer a non-destructive and fast approach to visualizing the soluble solids content (SSC) and acidity (pH) of the whole kiwifruit. Most of the visible-near-infrared spectral imaging techniques used in postharvest fruit and vegetables ...
Te Ma   +4 more
semanticscholar   +1 more source

Online detection of soluble solids content and maturity of tomatoes using Vis/NIR full transmittance spectra

, 2021
To meet the demand for high-quality tomatoes of different commercial purposes, the optimal models for predicting soluble solids content (SSC)and classifying maturities of tomatoes were developed simultaneously based on the Vis-NIR spectra collected by an
Yifeng Huang   +7 more
semanticscholar   +1 more source

Rapid and nondestructive evaluation of soluble solids content (SSC) and firmness in apple using Vis–NIR spatially resolved spectroscopy

, 2021
Visible–near infrared (Vis–NIR) spectroscopy is a rapid and nondestructive method used to characterize organic compounds in postharvest fruit and vegetable assessment.
Te Ma, Yu Xia, T. Inagaki, S. Tsuchikawa
semanticscholar   +1 more source

Soluble solids content is positively correlated with phosphorus content in ripening strawberry fruits

Scientia Horticulturae, 2015
Abstract Soluble solids content (SSC) is one of the main parameters for evaluating the nutritive value of strawberry ( Fragaria  ×  ananassa ), which is affected by a number of factors including genetics, environmental conditions and cultivation practices.
Fei Cao   +4 more
openaire   +1 more source

Determination of soluble solids content in oranges using visible and near infrared full transmittance hyperspectral imaging with comparative analysis of models

Postharvest Biology and Technology, 2020
The feasibility of using visible and near infrared full transmittance hyperspectral imaging for predicting soluble solids content (SSC) in oranges has been assessed.
Hailiang Zhang   +3 more
semanticscholar   +1 more source

Dielectric Properties of Watermelons and Correlation with Soluble Solids Content

2007 Minneapolis, Minnesota, June 17-20, 2007, 2007
Dielectric properties of four small-sized watermelon cultivars, grown and harvested to provide a range of maturities, were measured with an open-ended coaxial-line probe and impedance analyzer over the frequency range from 10 MHz to 1.8 GHz. Probe measurements were made on the external surface of the melons and also on tissue samples from the edible ...
null Stuart O Nelson   +3 more
openaire   +1 more source

Soluble solids content monitoring for shelf-life assessment of table grapes coated with chitosan using hyperspectral imaging

, 2021
Table grapes have a relatively short shelf-life and degradation rate due to pathogen infestation during postharvest storage. Chitosan (CTS) edible coatings offer a potential alternative for extending the shelf-life of fruit.
Yuanyuan Shao   +4 more
semanticscholar   +1 more source

Integrating deep learning and data fusion for enhanced oranges soluble solids content prediction using machine vision and Vis/NIR spectroscopy.

Food Chemistry
The visible/near infrared (Vis/NIR) spectrum will become distorted due to variations in sample color, thereby reducing the prediction accuracy of fruit composition. In this study, we aimed to develop a deep learning model with color correction capability
Z. Sun   +6 more
semanticscholar   +1 more source

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