Advanced techniques for hyperspectral imaging in the food industry: Principles and recent applications
Hyperspectral imaging (HSI) is a technology integrating optical sensing technologies of
imaging, spectroscopy, and chemometrics. The sensor of HSI can obtain both spatial and …
imaging, spectroscopy, and chemometrics. The sensor of HSI can obtain both spatial and …
Hyperspectral imaging and multispectral imaging as the novel techniques for detecting defects in raw and processed meat products: Current state-of-the-art research …
CH Feng, Y Makino, S Oshita, JFG Martín - Food Control, 2018 - Elsevier
In order to achieve rapid detection of defects and to increase the industrial operating
efficiency of products without compromising their quality attributes, hyperspectral imaging …
efficiency of products without compromising their quality attributes, hyperspectral imaging …
VIS/NIR hyperspectral imaging with artificial neural networks to evaluate the content of thiobarbituric acid reactive substances in beef muscle
S Park, M Yang, DG Yim, C Jo, G Kim - Journal of Food Engineering, 2023 - Elsevier
Abstract Machine learning models were developed to predict the degree of rancidity of beef
by a non-destructive method using a near infrared hyperspectral image acquisition system …
by a non-destructive method using a near infrared hyperspectral image acquisition system …
Advances in nondestructive methods for meat quality and safety monitoring
Meat is highly perishable and poses health threats when its quality and safety is
unmonitored. Chemical methods of quality and safety determination are expensive, time …
unmonitored. Chemical methods of quality and safety determination are expensive, time …
Optical sensing as analytical tools for meat tenderness measurements-A review
M Kamruzzaman - Meat Science, 2023 - Elsevier
Meat tenderness is the most important attribute related to consumer satisfaction. No
analytical tool is currently available to measure or predict tenderness in real-time. Therefore …
analytical tool is currently available to measure or predict tenderness in real-time. Therefore …
Chemometrics and hyperspectral imaging applied to assessment of chemical, textural and structural characteristics of meat
MM Reis, R Van Beers, M Al-Sarayreh, P Shorten… - Meat science, 2018 - Elsevier
Spectroscopy in the visible near-infrared spectral (Vis-NIRS) range combined with imaging
techniques (hyperspectral imaging, HSI) allows assessment of chemical composition …
techniques (hyperspectral imaging, HSI) allows assessment of chemical composition …
Current research and emerging tools to improve fresh red meat quality
A consumer's decision to purchase red meat is guided by a combination of many interacting
factors including safety, nutrition, sustainability and perception of healthiness along with a …
factors including safety, nutrition, sustainability and perception of healthiness along with a …
Applications of hyperspectral imaging in meat tenderness detection: Current research and potential for digital twin technology
C Kucha, EO Olaniyi - Food Bioscience, 2024 - Elsevier
This review explores the application of hyperspectral imaging (HSI) as an innovative non-
destructive method for assessing meat tenderness, a critical quality attribute affecting …
destructive method for assessing meat tenderness, a critical quality attribute affecting …
Shear force analysis by core location in Longissimus steaks from Nellore cattle using hyperspectral images–A feasibility study
JM Balage, JM Amigo, DS Antonelo, MR Mazon… - Meat science, 2018 - Elsevier
Industry requires non-destructive real-time methods for quality control of meat in order to
improve production efficiency and meet consumer expectations. Near Infrared Hyperspectral …
improve production efficiency and meet consumer expectations. Near Infrared Hyperspectral …
Evaluation of expert systems techniques for classifying different stages of coffee rust infection in hyperspectral images
In this work, the use of expert systems and hyperspectral imaging in the determination of
coffee rust infection was evaluated. Three classifiers were trained using spectral profiles …
coffee rust infection was evaluated. Three classifiers were trained using spectral profiles …