AIMC Topic: Cattle

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Functional MRGPRX2 expression on peripheral blood-derived human mast cells increases at low seeding density and is suppressed by interleukin-9 and fetal bovine serum.

Frontiers in immunology Dec 13, 2024
Primary human mast cells (MC) obtained through culturing of blood-derived MC progenitors are the preferred model for the study of MRGPRX2- IgE-mediated MC activation. In order to assess the impact of culture conditions on functional MRGPRX2 express...
Mast Cells Animals Nerve Tissue Proteins Receptors, Neuropeptide Cattle Receptors, G-Protein-Coupled Interleukin-9 Humans Cells, Cultured
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Using supervised machine learning algorithms to predict bovine leukemia virus seropositivity in dairy cattle in Florida: A 10-year retrospective study.

Preventive veterinary medicine Nov 28, 2024
Supervised machine-learning (SML) algorithms are potentially powerful tools that may be used for screening cows for infectious diseases such as bovine leukemia virus (BLV) infection. Here, we compared six different SML algorithms to identify the most...
Florida Enzootic Bovine Leukosis Leukemia Virus, Bovine Seroepidemiologic Studies Dairying Retrospective Studies Female Risk Factors Animals Algorithms Cattle Supervised Machine Learning
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Methodology for quality risk prediction for milk powder production plants with domain-knowledge-involved serial neural networks.

Food chemistry Nov 17, 2024
In dairy enterprises, predicting product quality attributes that are influenced by operating parameters is a major task. To reduce quality loss in production, a prediction-based quality control method is proposed in this study. In particular, a seria...
Dairying Neural Networks, Computer Animals Cattle Quality Control Milk Powders
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Simultaneous monitoring of two comprehensive quality evaluation indexes of frozen-thawed beef meatballs using hyperspectral imaging and multi-task convolutional neural network.

Meat science Nov 10, 2024
The quality of beef meatballs during repeated freeze-thaw (F-T) cycles was assessed by multiple indicators. This study introduced a novel quality evaluation method using hyperspectral imaging (HSI) and multi-task learning. Seventeen quality indicator...
Animals Cattle Meat Products Neural Networks, Computer Red Meat Food Quality Quality Control Hyperspectral Imaging Freezing
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Milk adulteration identification using hyperspectral imaging and machine learning.

Journal of dairy science Nov 8, 2024
Milk adulteration poses a global concern, with developing countries facing higher risks due to unsatisfactory monitoring systems and policies. Surprisingly, this common issue has often been overlooked in many countries. Contrary to popular belief, ad...
Machine Learning Food Contamination Milk Hyperspectral Imaging Animals Cattle
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Dielectric spectroscopy technology combined with machine learning methods for nondestructive detection of protein content in fresh milk.

Journal of food science Oct 11, 2024
To quickly achieve nondestructive detection of protein content in fresh milk, this study utilized a network analyzer and an open coaxial probe to analyze the dielectric spectra of milk samples at 100 frequency points within the 2-20 GHz range, focusi...
Algorithms Animals Cattle Machine Learning Milk Dielectric Spectroscopy Support Vector Machine Milk Proteins Decision Trees Least-Squares Analysis
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Deep-learning classification of teat-end conditions in Holstein cattle.

Research in veterinary science Oct 9, 2024
As a means of preventing mastitis, deep learning for classifying teat-end conditions in dairy cows has not yet been optimized. By using 1426 digital images of dairy cow udders, the extent of teat-end hyperkeratosis was assessed using a four-point sca...
Female Animals Deep Learning Cattle Mastitis, Bovine Mammary Glands, Animal Dairying
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Comparison of a machine learning model with a conventional rule-based selective dry cow therapy algorithm for detection of intramammary infections.

Journal of dairy science Sep 28, 2024
We trained machine learning models to identify IMI in late-lactation cows at dry-off to guide antibiotic treatment, and compared their performance to a rule-based algorithm that is currently used on dairy farms in the United States. We conducted an o...
Milk Mastitis, Bovine Cattle Algorithms Lactation Female Machine Learning Animals
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Improving lameness detection in cows: A machine learning algorithm application.

Journal of dairy science Sep 27, 2024
The deployment of diverse data-generating technologies in livestock farming holds the promise of early disease detection and improved animal well-being. In this paper, we combine routinely collected dairy farm and herd data with weather and high-freq...
Animals Machine Learning Algorithms Lameness, Animal Female Cattle Dairying Cattle Diseases
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Predictive models for heat stress assessment in Holstein dairy heifers using infrared thermography and machine learning.

Tropical animal health and production Sep 26, 2024
Heat stress is a condition that impairs the animal's productive and reproductive performance, and can be monitored by physiological and environmental variables, including body surface temperature, through infrared thermography. The objective of this ...
Thermography Female Animals Respiratory Rate Cattle Diseases Machine Learning Dairying Cattle Heat Stress Disorders Infrared Rays Hot Temperature
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