[HTML][HTML] Recent trends of machine learning applied to multi-source data of medicinal plants

Y Zhang, Y Wang - Journal of Pharmaceutical Analysis, 2023 - Elsevier
In traditional medicine and ethnomedicine, medicinal plants have long been recognized as
the basis for materials in therapeutic applications worldwide. In particular, the remarkable …

[HTML][HTML] E-sensing systems for shelf life evaluation: A review on applications to fresh food of animal origin

S Grassi, S Benedetti, E Casiraghi, S Buratti - Food Packaging and Shelf …, 2023 - Elsevier
The quality of fresh food of animal origin, as meat, fish, dairy products, and eggs, is pivotal
for consumers and producers; however, due to the action of microorganisms, enzymes, and …

Analysis of beef quality according to color changes using computer vision and white-box machine learning techniques

CN Sánchez, MT Orvañanos-Guerrero… - Heliyon, 2023 - cell.com
The quality of beef products relies on the presence of a cherry red color, as any deviation
toward brownish tones indicates a loss in quality. Existing studies typically analyze …

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 …

Critical review and recent advances of emerging real-time and non-destructive strategies for meat spoilage monitoring

J Chen, J Zhang, N Wang, B **ao, X Sun, J Li, K Zhong… - Food Chemistry, 2024 - Elsevier
Monitoring and evaluating food quality, especially meat quality, has received a growing
interest to ensure human health and decrease waste of raw materials. Standard analytical …

Fruits and vegetables preservation based on AI technology: Research progress and application prospects

D Wang, M Zhang, M Li, J Lin - Computers and Electronics in Agriculture, 2024 - Elsevier
Fresh fruits and vegetables are characterized by high water content, perishability and strong
seasonality. In the process of supply chain, it is easy to lead to the decrease of freshness …

Computer vision and deep learning-based approaches for detection of food nutrients/nutrition: New insights and advances

S Kaushal, DK Tammineni, P Rana, M Sharma… - Trends in Food Science …, 2024 - Elsevier
Background Nutrition plays a vital role in maintaining human health. Traditional methods
used for assessing food composition and nutritional content often require destructive sample …

[HTML][HTML] Using in-abattoir 3-dimensional measurements from images of beef carcasses for the prediction of EUROP classification grade and carcass weight

H Nisbet, N Lambe, G Miller, A Doeschl-Wilson… - Meat science, 2024 - Elsevier
Imaging technology can aid the automatic extraction of measurements from beef carcasses,
which can be used for objective grading. Many abattoirs, however, rely on manual grading …

New trends in the development and application of artificial intelligence in food processing

R Barthwal, D Kathuria, S Joshi, RSS Kaler… - Innovative Food Science …, 2024 - Elsevier
Food plays a significant role in human existence. It is necessary to reduce food wastage,
and enhance both food management and safety protocols. The growing prevalence and …

Empowering informed choices: How computer vision can assists consumers in making decisions about meat quality

GL Menezes, DTV Junior, REP Ferreira, DAB Oliveira… - Meat Science, 2025 - Elsevier
Consumers often find it challenging to assess meat sensory quality, influenced by
tenderness and intramuscular fat (IMF). This study aims to develop a computer vision system …