Application of artificial intelligence in food industry—a guideline
Artificial intelligence (AI) has embodied the recent technology in the food industry over the
past few decades due to the rising of food demands in line with the increasing of the world …
past few decades due to the rising of food demands in line with the increasing of the world …
A review of machine learning for near-infrared spectroscopy
The analysis of infrared spectroscopy of substances is a non-invasive measurement
technique that can be used in analytics. Although the main objective of this study is to …
technique that can be used in analytics. Although the main objective of this study is to …
Artificial intelligence in food safety: A decade review and bibliometric analysis
Z Liu, S Wang, Y Zhang, Y Feng, J Liu, H Zhu - Foods, 2023 - mdpi.com
Artificial Intelligence (AI) technologies have been powerful solutions used to improve food
yield, quality, and nutrition, increase safety and traceability while decreasing resource …
yield, quality, and nutrition, increase safety and traceability while decreasing resource …
Emerging nondestructive approaches for meat quality and safety evaluation—A review
Meat is one of the most consumed agro‐products because it contains proteins, minerals,
and essential vitamins, all of which play critical roles in the human diet and health. Meat is a …
and essential vitamins, all of which play critical roles in the human diet and health. Meat is a …
Portable NIR spectroscopy and PLS based variable selection for adulteration detection in quinoa flour
Quinoa flour is prone to economically motivated adulteration due to its high nutritional value
and growing demand worldwide. In this study, portable near-infrared spectroscopy (NIRS) …
and growing demand worldwide. In this study, portable near-infrared spectroscopy (NIRS) …
Mitigating spread of contamination in meat supply chain management using deep learning
Industry 4.0 recommends a paradigm shift from traditional manufacturing to automated
industrial practices, especially in different parts of supply chain management. Besides, the …
industrial practices, especially in different parts of supply chain management. Besides, the …
Predicting infrared spectra with message passing neural networks
Infrared (IR) spectroscopy remains an important tool for chemical characterization and
identification. Chemprop-IR has been developed as a software package for the prediction of …
identification. Chemprop-IR has been developed as a software package for the prediction of …
Spectral deep learning for prediction and prospective validation of functional groups
State-of-the-art identification of the functional groups present in an unknown chemical entity
requires the expertise of a skilled spectroscopist to analyse and interpret Fourier transform …
requires the expertise of a skilled spectroscopist to analyse and interpret Fourier transform …
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 …
Rapid identification of lamb freshness grades using visible and near-infrared spectroscopy (Vis-NIR)
J Zhang, G Liu, Y Li, M Guo, F Pu, H Wang - Journal of Food Composition …, 2022 - Elsevier
In the meat industry, it is essential to monitor and identify meat freshness grades due to its
impact on the safety of human diets. This study aimed to identify premium, sub-fresh, and …
impact on the safety of human diets. This study aimed to identify premium, sub-fresh, and …