AIMC Topic: Red Meat

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An automated ranking platform for machine learning regression models for meat spoilage prediction using multi-spectral imaging and metabolic profiling.

Food research international (Ottawa, Ont.) May 20, 2017
Over the past decade, analytical approaches based on vibrational spectroscopy, hyperspectral/multispectral imagining and biomimetic sensors started gaining popularity as rapid and efficient methods for assessing food quality, safety and authenticatio...
Automation Pattern Recognition, Automated Red Meat Optical Imaging Food Preservation Data Mining Machine Learning Gas Chromatography-Mass Spectrometry Reproducibility of Results Least-Squares Analysis Bacteria Chromatography, High Pressure Liquid Spectroscopy, Fourier Transform Infrared Food Microbiology Electronic Nose Principal Component Analysis Metabolomics Models, Statistical
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A fuzzy logic-based tool to assess beef cattle ranching sustainability in complex environmental systems.

Journal of environmental management May 13, 2017
One of the most relevant issues in discussion worldwide nowadays is the concept of sustainability. However, sustainability assessment is a difficult task due to the complexity of factors involved in the natural world added to the human interference. ...
Fuzzy Logic Red Meat Uncertainty Environment Software Humans Animals Cattle
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Gradual Reduction in Sodium Content in Cooked Ham, with Corresponding Change in Sensorial Properties Measured by Sensory Evaluation and a Multimodal Machine Vision System.

PloS one Sep 30, 2015
The European diet today generally contains too much sodium (Na(+)). A partial substitution of NaCl by KCl has shown to be a promising method for reducing sodium content. The aim of this work was to investigate the sensorial changes of cooked ham with...
Taste Perception Food-Processing Industry Taste Artificial Intelligence Red Meat Sodium Chloride Image Processing, Computer-Assisted Cooking Animals Sodium Chloride, Dietary Meat Products
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Application of machine learning for optimizing biomarker combinations and guiding decisions on meat authentication.

Meat science Sep 1, 2025
This paper tested the relevance of two machine learning approaches (decision trees, DTs; and random forest models, RFs) applied to meat authentication. DT allow to select and rank potential biomarkers according to their respective discriminatory powe...
Male Muscle, Skeletal Decision Trees Biomarkers Animals Red Meat Carotenoids Sheep, Domestic Adipose Tissue Machine Learning Color
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Deep learning-driven hyperspectral imaging for real-time monitoring and growth modeling of psychrophilic spoilage bacteria in chilled beef.

International journal of food microbiology Aug 2, 2025
Owing to the unsound cold chain system in China, chilled beef's quality would be affected by psychrophilic bacteria, resulting in quality deterioration and corruption, which leads to food safety problems. In this study, the growth of Pseudomonas and ...
Neural Networks, Computer Deep Learning China Cattle Algorithms Animals Hyperspectral Imaging Food Microbiology Lactobacillus Colony Count, Microbial Bacteria Pseudomonas Red Meat Food Contamination
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Forecasting beef production and quality using large-scale integrated data from Brazil.

Journal of animal science Apr 1, 2020
With agriculture rapidly becoming a data-driven field, it is imperative to extract useful information from large data collections to optimize the production systems. We compared the efficacy of regression (linear regression or generalized linear regr...
Red Meat Commerce Linear Models Climate Male Brazil Cattle Agriculture Farms Soil Animals Phenotype Female Machine Learning
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