AIMC Topic: Meat

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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...
Meat Sheep Ducks Red Meat Neural Networks, Computer Animals Cattle
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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...
Animal Husbandry Farms Meat 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...
Artificial Intelligence Carbon Footprint Deep Learning Meat Refuse Disposal
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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...
Deep Learning Food Safety Salmonella Animals Feces Optical Imaging Food Analysis Chickens Meat Escherichia coli Abattoirs Food Contamination
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Decompartmentalisation as a simple color manipulation of plant-based marbling meat alternatives.

Biomaterials Sep 3, 2021
Recent efforts for cell-based meat cuts focus on engineering edible scaffolds, with visual cues which are key to enhancing consumer acceptance, receiving less attention Here, we employed artificial intelligence (AI)-based screening of potential plant...
Chickens Color Meat Animals Swine Cattle Consumer Behavior Tissue Engineering Humans Artificial Intelligence
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Label-Free Detection of Based on Bacteria-Imprinted Polymer and Turn-on Fluorescence Probes.

ACS applied bio materials Dec 15, 2020
The effective identification and quantitative determination of is a major public health concern. Here, an innovative strategy that combines a bacteria-imprinted polydimethylsiloxane film for bacterial recognition and fluorescence resonance energy tr...
Molecularly Imprinted Polymers Gold Meat Animals Metal Nanoparticles Copper Citric Acid Swine Fluorescent Dyes Limit of Detection Dimethylpolysiloxanes Staphylococcus aureus Fluorescence Resonance Energy Transfer
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Improving genomic prediction accuracy for meat tenderness in Nellore cattle using artificial neural networks.

Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie Feb 5, 2020
The goal of this study was to compare the predictive performance of artificial neural networks (ANNs) with Bayesian ridge regression, Bayesian Lasso, Bayes A, Bayes B and Bayes Cπ in estimating genomic breeding values for meat tenderness in Nellore c...
Genome Linkage Disequilibrium Chromosomes Quantitative Trait, Heritable Gene Frequency Breeding Pedigree Genotype Bayes Theorem Meat Neural Networks, Computer Genomics Polymorphism, Single Nucleotide Animals Cattle
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Rapid detection of adulteration of minced beef using Vis/NIR reflectance spectroscopy with multivariate methods.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jan 14, 2020
High economic returns induce the continuous occurrence of meat adulteration. In this study, visible/near-infrared (Vis/NIR) reflectance spectroscopy with multivariate methods was used for the rapid detection of adulteration in minced beef. First, the...
Neural Networks, Computer Meat Red Meat Support Vector Machine Animals Food Contamination Spectroscopy, Near-Infrared Principal Component Analysis Cattle
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Comparison of the decision tree, artificial neural network and multiple regression methods for prediction of carcass tissues composition of goat kids.

Meat science Nov 14, 2019
The aim of this study was to predict carcass tissue composition of goat kids using the decision tree with CHAID algorithm (DT) and artificial neural network (ANN) method in comparison with classical step-wise regression (SWR) analyse. Data were obtai...
Decision Trees Adipose Tissue Meat Goats Bone and Bones Animals Male Muscle, Skeletal Neural Networks, Computer Female Reproducibility of Results
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Meat quality evaluation based on computer vision technique: A review.

Meat science Jun 5, 2019
Nowadays people tend to include more meat in their diet thanks to the improvement in standards of living as well as an increase in awareness of meat nutritive values. To ensure public health, therefore, there is a need for a rise in worldwide meat pr...
Swine Poultry Cattle Artificial Intelligence Poultry Products Animals Meat Food Quality Fishes Fish Products Sheep
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