Hyperspectral imaging technology for quality and safety evaluation of horticultural products: A review and celebration of the past 20-year progress

Y Lu, W Saeys, M Kim, Y Peng, R Lu - Postharvest Biology and Technology, 2020 - Elsevier
In the past 20 years, hyperspectral imaging has been widely investigated as an emerging,
promising technology for evaluating quality and safety of horticultural products. This …

Quality and shelf life of tree nuts: A review

T Gama, HM Wallace, SJ Trueman, S Hosseini-Bai - Scientia horticulturae, 2018 - Elsevier
The global market for tree nuts is growing rapidly with trade in excess of $ US32 billion
annually. Tree nuts have a high oil content and fatty acid composition that can render them …

Effect of variable selection algorithms on model performance for predicting moisture content in biological materials using spectral data

M Kamruzzaman, D Kalita, MT Ahmed, G ElMasry… - Analytica Chimica …, 2022 - Elsevier
Variable selection is a critical step for designing a dedicated multispectral real-time system
from multicollinearity spectral data. It improves the prediction ability of the calibration model …

Classification of hazelnut kernels with deep learning

Z Ünal, H Aktaş - Postharvest Biology and Technology, 2023 - Elsevier
In this study a deep learning-based, highly accurate network structure was applied to
discriminate the “whole kernel” of hazelnut from other classes such as “damaged …

[HTML][HTML] A novel insight into screening for antioxidant peptides from hazelnut protein: based on the properties of amino acid residues

C Shi, M Liu, H Zhao, Z Lv, L Liang, B Zhang - Antioxidants, 2022 - mdpi.com
This study used the properties of amino acid residues to screen antioxidant peptides from
hazelnut protein. It was confirmed that the type and position of amino acid residues, grand …

Rancidity and moisture estimation in shelled almond kernels using NIR hyperspectral imaging and chemometric analysis

BK Panda, G Mishra, WA Ramirez, H Jung… - Journal of Food …, 2022 - Elsevier
The current work focused on rapid and non-destructive determination of moisture content
(MC), free fatty acids (FFA) and peroxide value (PV) in shelled almonds, using reflectance …

[HTML][HTML] Monitoring and optimization of the process of drying fruits and vegetables using computer vision: A review

F Raponi, R Moscetti, D Monarca, A Colantoni… - Sustainability, 2017 - mdpi.com
An overview is given regarding the most recent use of non-destructive techniques during
drying used to monitor quality changes in fruits and vegetables. Quality changes were …

[HTML][HTML] Handheld devices for food authentication and their applications: A review

J Müller-Maatsch, SM van Ruth - Foods, 2021 - mdpi.com
This review summarises miniaturised technologies, commercially available devices, and
device applications for food authentication or measurement of features that could potentially …

Identification of freezer burn on frozen salmon surface using hyperspectral imaging and computer vision combined with machine learning algorithm

JL Xu, DW Sun - International Journal of Refrigeration, 2017 - Elsevier
This study explored the potential of computer vision system (CVS) and hyperspectral
imaging (HSI) technique covering spectral range of 900–1700 nm for identifying freezer …

Comparison of hyperspectral imaging and computer vision for automatic differentiation of organically and conventionally farmed salmon

JL Xu, C Riccioli, DW Sun - Journal of Food Engineering, 2017 - Elsevier
This study was carried out to explore the potential of computer vision system (CVS) and two
hyperspectral imaging (HSI) systems covering the visible and short-wave near infrared …