Visible/near-infrared Spectroscopy and Hyperspectral Imaging Facilitate the Rapid Determination of Soluble Solids Content in Fruits

Y Zhao, L Zhou, W Wang, X Zhang, Q Gu, Y Zhu… - Food Engineering …, 2024 - Springer
Soluble solids content (SSC) is an essential internal quality attribute of fruits that directly
affects consumers' degree of satisfaction. The traditional determination method, the …

[HTML][HTML] Advancement in Measurement and AI-Driven Predictions of Maturity Indices in Kinnow (Citrus nobilis x Citrus deliciosa): A Comprehensive Review

S Ghanghas, N Kumar, S Kumar, VK Singh - Food Physics, 2024 - Elsevier
Kinnow also known as mandarin are popular fruits worldwide for their refreshing flavor and
nutritional benefits. Their quality standards vary globally due to differences in climatic …

Nondestructive evaluation of SW-NIRS and NIR-HSI for predicting the maturity index of intact pineapples

A Tantinantrakun, S Sukwanit, AK Thompson… - Postharvest Biology and …, 2023 - Elsevier
Determination of optimum maturity and ripeness of fruit is essential in the production of
processed fruit, including pineapples, but this is difficult to achieve consistently by visual …

Vis/NIR model development and robustness in prediction of potato dry matter content with influence of cultivar and season

S Wang, J Yan, S Tian, H Tian, H Xu - Postharvest Biology and Technology, 2023 - Elsevier
Abstract Visible/Near-infrared (Vis/NIR) spectroscopy is widely used in the detection of dry
matter content (DMC) of potatoes. However, biological variability (eg, cultivar and season) …

Mandarin orange (Citrus reticulata Blanco cv. Batu 55) ripeness parameters prediction using combined reflectance-fluorescence images and deep convolutional …

DF Al Riza, AM Ikrom, AA Tulsi, Y Hendrawan - Scientia Horticulturae, 2024 - Elsevier
This paper presents a novel approach for predicting the ripeness parameters of Mandarin
oranges (Citrus reticulata Blanco cv. Batu 55) using a Deep Convolutional Neural Network …

Machine learning-driven assessment of biochemical qualities in tomato and mandarin using RGB and hyperspectral sensors as nondestructive technologies

AH Elmetwalli, A Derbala, IM Alsudays, EA Al-Shahari… - PloS one, 2024 - journals.plos.org
Estimation of fruit quality parameters are usually based on destructive techniques which are
tedious, costly and unreliable when dealing with huge amounts of fruits. Alternatively, non …

Non-destructive evaluation of the edible rate for pomelo using X-ray imaging method

Y Zhang, Y Lin, H Tian, S Tian, H Xu - Food Control, 2023 - Elsevier
Flesh content of pomelos sometimes does not match the price due to thick peel, which
reduces their commercial value and consumer satisfaction. This study demonstrated the …

Can light penetrate through pomelos and carry information for the non-destructive prediction of soluble solid content using Vis-NIRS?

H Tian, H Xu, Y Ying - Biosystems Engineering, 2022 - Elsevier
The penetration depth of light and the distribution of components in fruit affect the accuracy
of models in visible-near infrared spectroscopy (Vis-NIRS). These issues are particularly …

Prediction of Soluble-Solid Content in Citrus Fruit Using Visible–Near-Infrared Hyperspectral Imaging Based on Effective-Wavelength Selection Algorithm

MJ Kim, WH Yu, DJ Song, SW Chun, MS Kim, A Lee… - Sensors, 2024 - mdpi.com
Citrus fruits were sorted based on external qualities, such as size, weight, and color, and
internal qualities, such as soluble solid content (SSC), acidity, and firmness. Visible and …

Development of new fruit quality indices through aggregation of fruit quality parameters and their predictions using near-infrared spectroscopy

S Funsueb, C Thanavanich, P Theanjumpol… - Postharvest Biology and …, 2023 - Elsevier
This study introduces a flexible approach to aggregate several quality-related parameters to
provide new fruit quality indices (FQIs) with the aim of evaluating the overall quality of fruits …