Meat 4.0: Principles and applications of Industry 4.0 technologies in the meat industry

N Echegaray, A Hassoun, S Jagtap, M Tetteh-Caesar… - Applied Sciences, 2022 - mdpi.com
Meat 4.0 refers to the application the fourth industrial revolution (Industry 4.0) technologies
in the meat sector. Industry 4.0 components, such as robotics, Internet of Things, Big Data …

[HTML][HTML] Applications of Electronic Nose, Electronic Eye and Electronic Tongue in Quality, Safety and Shelf Life of Meat and Meat Products: A Review

PES Munekata, S Finardi, CK de Souza, C Meinert… - Sensors, 2023 - mdpi.com
The quality and shelf life of meat and meat products are key factors that are usually
evaluated by complex and laborious protocols and intricate sensory methods. Devices with …

[HTML][HTML] Combining deep learning and fluorescence imaging to automatically identify fecal contamination on meat carcasses

HT Gorji, SM Shahabi, A Sharma, LQ Tande… - Scientific Reports, 2022 - nature.com
Food safety and foodborne diseases are significant global public health concerns. Meat and
poultry carcasses can be contaminated by pathogens like E. coli and salmonella, by contact …

Pork primal cuts recognition method via computer vision

H Huang, W Zhan, Z Du, S Hong, T Dong, J She, C Min - Meat Science, 2022 - Elsevier
Pork accounts for more than 33% of global meat consumption and dominates meat
consumption in China. With the improvement of people's quality of life, people pay more and …

[HTML][HTML] Emerging nondestructive techniques for the quality and safety evaluation of pork and beef: Recent advances, challenges, and future perspectives

PDC Sanchez, HBT Arogancia, KM Boyles… - Applied Food …, 2022 - Elsevier
Quality and safety evaluation play a significant role in the food industry since consumers are
being more particular and alert in selecting their food items. Majority of the consumers prefer …

Optical sensing as analytical tools for meat tenderness measurements-A review

M Kamruzzaman - Meat Science, 2022 - 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 …

Recent advances in muscle food safety evaluation: Hyperspectral imaging analyses and applications

H Pu, Q Wei, DW Sun - Critical Reviews in Food Science and …, 2023 - Taylor & Francis
As there is growing interest in process control for quality and safety in the meat industry, by
integrating spectroscopy and imaging technologies into one system, hyperspectral imaging …

Non-destructive techniques for the analysis and evaluation of meat quality and safety: a review

X Wu, X Liang, Y Wang, B Wu, J Sun - Foods, 2022 - mdpi.com
With the continuous development of economy and the change in consumption concept, the
demand for meat, a nutritious food, has been dramatically increasing. Meat quality is tightly …

Artificial intelligence in veterinary diagnostic imaging: A literature review

E Hennessey, M DiFazio… - Veterinary Radiology …, 2022 - Wiley Online Library
Artificial intelligence in veterinary medicine is an emerging field. Machine learning, a
subfield of artificial intelligence, allows computer programs to analyze large imaging …

Raman Spectroscopy Application in Food Waste Analysis: A Step towards a Portable Food Quality-Warning System

OH Dib, A Assaf, A Pean, MJ Durand, S Jouanneau… - Sustainability, 2022 - mdpi.com
Food waste is one of the main problems contributing to climate change, as its piling up in
landfills produces the greenhouse gas methane. Food waste occurs at every stage of food …