Meat 4.0: principles and applications of industry 4.0 technologies in the meat industry
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 …
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 …
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 …
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
Augmented Reality (AR) is revolutionizing technology that has found applications in food
quality and safety assessment as related to addressing challenges in traditional methods …
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 …
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 …
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 …
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
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 …
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 …
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 …
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 …
study aimed to investigate the feasibility of applying hyperspectral image technology to …