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 …

Recent advances of artificial intelligence in quantitative analysis of food quality and safety indicators: A review

L Yi, W Wang, Y Diao, S Yi, Y Shang, D Ren… - TrAC Trends in …, 2024 - Elsevier
Food quality and safety (FQS) are crucial aspects of everyone's life and health. With the
rapidly advancing field of analytical sciences, there is a growing demand for intuitive …

Hyperspectral imaging–based assessment of fresh meat quality: Progress and applications

K Jo, S Lee, DH Lee, H Jeon, S Jung - Microchemical Journal, 2024 - Elsevier
Given that traditional methods of meat quality analysis are time-consuming, destructive, and
poorly suited for the rapid quality evaluation of production lines, the development of non …

Augmented reality for food quality assessment: Bridging the physical and digital worlds

JT Liberty, S Sun, C Kucha, AA Adedeji, G Agidi… - Journal of Food …, 2024 - Elsevier
Augmented Reality (AR) is revolutionizing technology that has found applications in food
quality and safety assessment as related to addressing challenges in traditional methods …

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 …

Quantitative detection of metanil yellow adulteration in chickpea flour using line-scan near-infrared hyperspectral imaging with partial least square regression and one …

D Saha, T Senthilkumar, CB Singh… - Journal of Food …, 2023 - Elsevier
Food adulteration is a serious food safety issue, and it is visually difficult to detect metanil
yellow adulteration in chickpea flour. The objective of this study was to develop a non …

Application of near-infrared hyperspectral imaging coupled with chemometrics for rapid and non-destructive prediction of protein content in single chickpea seed

D Saha, T Senthilkumar, S Sharma, CB Singh… - Journal of Food …, 2023 - Elsevier
Evaluating the protein content of a single chickpea seed in a rapid, non-destructive, and
precise manner is crucial for facilitating the breeding of high-protein chickpeas. This study …

The impact of high-quality data on the assessment results of visible/near-infrared hyperspectral imaging and development direction in the food fields: a review

H Xu, J Ren, J Lin, S Mao, Z Xu, Z Chen, J Zhao… - Journal of Food …, 2023 - Springer
Over the past decades, food quality and safety have seriously been disturbing public health.
Traditional monitoring methods of food-quality evaluation have been time consuming and …

Trends in hyperspectral imaging: from environmental and health sensing to structure-property and nano-bio interaction studies

EM Rodrigues, E Hemmer - Analytical and Bioanalytical Chemistry, 2022 - Springer
Hyperspectral imaging (HSI) is a technique that allows for the simultaneous acquisition of
both spatial and spectral information. While HSI has been known for years in the field of …

Nondestructive detection of nutritional parameters of pork based on NIR hyperspectral imaging technique

J Zuo, Y Peng, Y Li, W Zou, Y Chen, D Huo, K Chao - Meat Science, 2023 - Elsevier
Nondestructive detection of the nutritional parameters of pork is of great importance. This
study aimed to investigate the feasibility of applying hyperspectral image technology to …