AIMC Topic: Meat

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Rapid identification of counterfeited beef using deep learning-aided spectroscopy: Detecting colourant and curing agent adulteration.

Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association Oct 5, 2023
The adulteration of meat products using colourants and curing agents has heightened concerns over food safety, thereby necessitating the development of advanced detection methods. This study introduces a deep-learning-based spectroscopic method for s...
Meat Animals Meat Products Deep Learning Spectrum Analysis Cattle Food Contamination
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Post-harvest biocontrol of Salmonella Enteritidis on Chicken breast meat and Shell eggs using multiphage cocktail.

Veterinaria italiana Sep 30, 2023
The study aimed to evaluate the efficacy of a phage cocktail to reduce Salmonella Enteritidis contamination on perishable food items viz. chicken breast meat and shell eggs using different concentrations. Initially, four bacteriophages €P54, €P59, €P...
Meat Food Microbiology Salmonella Phages Eggs Salmonella enteritidis Animals Chickens
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Marker-Free Isoelectric Focusing Patterns for Identification of Meat Samples via Deep Learning.

Analytical chemistry Aug 31, 2023
Isoelectric focusing (IEF) is a powerful tool for resolving complex protein samples, which generates IEF patterns consisting of multiplex analyte bands. However, the interpretation of IEF patterns requires the careful selection of isoelectric point (...
Isoelectric Point Isoelectric Focusing Algorithms Deep Learning Meat
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Toward sustainable culture media: Using artificial intelligence to optimize reduced-serum formulations for cultivated meat.

The Science of the total environment Jun 19, 2023
When considering options for future foods, cell culture approaches are at the fore, however, culture media to support the process has been identified as a significant contributor to the overall global warming potential (GWP) and cost of cultivated me...
Neural Networks, Computer Artificial Intelligence Zebrafish Culture Media Algorithms Meat Animals
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Microbiological Quality Estimation of Meat Using Deep CNNs on Embedded Hardware Systems.

Sensors (Basel, Switzerland) Apr 24, 2023
Spectroscopic sensor imaging of food samples meta-processed by deep machine learning models can be used to assess the quality of the sample. This article presents an architecture for estimating microbial populations in meat samples using multispectra...
Neural Networks, Computer Machine Learning Meat Computers Diagnostic Imaging
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Measuring water holding capacity in pork meat images using deep learning.

Meat science Mar 16, 2023
Water holding capacity (WHC) plays an important role when obtaining a high-quality pork meat. This attribute is usually estimated by pressing the meat and measuring the amount of water expelled by the sample and absorbed by a filter paper. In this wo...
Red Meat Pork Meat Swine Deep Learning Water Meat Animals
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Image based beef and lamb slice authentication using convolutional neural networks.

Meat science Oct 12, 2022
Meat adulteration affects customers and the market. Existing meat authentication methods usually rely on special devices, and thus are limited to professional use only. Fake lamb or beef slices made from duck and fat appear in some Chinese hotpot res...
Red Meat Sheep Ducks Neural Networks, Computer Cattle Animals Meat
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New insights in improving sustainability in meat production: opportunities and challenges.

Critical reviews in food science and nutrition Jul 12, 2022
Treating livestock as senseless production machines has led to rampant depletion of natural resources, enhanced greenhouse gas emissions, gross animal welfare violations, and other ethical issues. It has essentially instigated constant scrutiny of co...
Meat Animal Husbandry Farms Artificial Intelligence Animals
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Mitigating spread of contamination in meat supply chain management using deep learning.

Scientific reports Mar 23, 2022
Industry 4.0 recommends a paradigm shift from traditional manufacturing to automated industrial practices, especially in different parts of supply chain management. Besides, the Sustainable Development Goal (SDG) 12 underscores the urgency of ensurin...
Deep Learning Meat Refuse Disposal Carbon Footprint Artificial Intelligence
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Combining deep learning and fluorescence imaging to automatically identify fecal contamination on meat carcasses.

Scientific reports Feb 14, 2022
Food safety and foodborne diseases are significant global public health concerns. Meat and poultry carcasses can be contaminated by pathogens like E. coli and salmonella, by contact with animal fecal matter and ingesta during slaughter and processing...
Optical Imaging Abattoirs Food Safety Feces Deep Learning Food Analysis Animals Escherichia coli Chickens Salmonella Meat Food Contamination
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