AIMC Topic: Milk

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Predicting dairy cattle heat stress using machine learning techniques.

Journal of dairy science Oct 31, 2020
The objectives of the study were to use a heat stress scoring system to evaluate the severity of heat stress on dairy cows using different heat abatement techniques. The scoring system ranged from 1 to 4, where 1 = no heat stress; 2 = mild heat stres...
Temperature Animals Cattle Cattle Diseases Machine Learning Female Body Temperature Hot Temperature Dairying Respiratory Rate Bayes Theorem Lactation Milk Heat Stress Disorders
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A comparison of 4 different machine learning algorithms to predict lactoferrin content in bovine milk from mid-infrared spectra.

Journal of dairy science Oct 23, 2020
Lactoferrin (LF) is a glycoprotein naturally present in milk. Its content varies throughout lactation, but also with mastitis; therefore it is a potential additional indicator of udder health beyond somatic cell count. Condequently, there is an inter...
Spectrophotometry, Infrared Female Animals Lactoferrin Machine Learning Cattle Lactation Algorithms Least-Squares Analysis Milk Calibration
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SERS-based lateral flow assay combined with machine learning for highly sensitive quantitative analysis of Escherichia coli O157:H7.

Analytical and bioanalytical chemistry Sep 12, 2020
In the present study, surface-enhanced Raman scattering-based lateral flow assay (SERS-LFA) strips were applied to promptly and sensitively detect Escherichia coli O157:H7 (E. coli O157:H7) to ensure food safety. The SERS nanotags were prepared by co...
Machine Learning Animals Biosensing Techniques Milk Red Meat Spectrum Analysis, Raman Escherichia coli O157 Limit of Detection
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Predicting bovine tuberculosis status of dairy cows from mid-infrared spectral data of milk using deep learning.

Journal of dairy science Aug 20, 2020
Bovine tuberculosis (bTB) is a zoonotic disease in cattle that is transmissible to humans, distributed worldwide, and considered endemic throughout much of England and Wales. Mid-infrared (MIR) analysis of milk is used routinely to predict fat and pr...
Tuberculosis, Bovine England Cattle Predictive Value of Tests Lactation Milk Spectrophotometry, Infrared Scotland Female Sensitivity and Specificity Animals Deep Learning Neural Networks, Computer Phenotype
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Improved Antibiotic Detection in Raw Milk Using Machine Learning Tools over the Absorption Spectra of a Problem-Specific Nanobiosensor.

Sensors (Basel, Switzerland) Aug 14, 2020
In this article we present the development of a biosensor system that integrates nanotechnology, optomechanics and a spectral detection algorithm for sensitive quantification of antibiotic residues in raw milk of cow. Firstly, nanobiosensors were des...
Animals Aptamers, Nucleotide Biosensing Techniques Food Contamination Machine Learning Anti-Bacterial Agents Drug Residues Gold Metal Nanoparticles Limit of Detection Milk
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Milk Source Identification and Milk Quality Estimation Using an Electronic Nose and Machine Learning Techniques.

Sensors (Basel, Switzerland) Jul 30, 2020
In this study, an electronic nose (E-nose) consisting of seven metal oxide semiconductor sensors is developed to identify milk sources (dairy farms) and to estimate the content of milk fat and protein which are the indicators of milk quality. The dev...
Machine Learning Algorithms Animals Discriminant Analysis Milk Electronic Nose Logistic Models Support Vector Machine Food Analysis
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Using Sensor Data to Detect Lameness and Mastitis Treatment Events in Dairy Cows: A Comparison of Classification Models.

Sensors (Basel, Switzerland) Jul 10, 2020
The aim of this study was to develop classification models for mastitis and lameness treatments in Holstein dairy cows as the target variables based on continuous data from herd management software with modern machine learning methods. Data was colle...
Female Sensitivity and Specificity Dairying Animals Cattle Mastitis Bayes Theorem Milk Lameness, Animal Machine Learning
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Artificial Intelligence Applied to a Robotic Dairy Farm to Model Milk Productivity and Quality based on Cow Data and Daily Environmental Parameters.

Sensors (Basel, Switzerland) May 24, 2020
Increased global temperatures and climatic anomalies, such as heatwaves, as a product of climate change, are impacting the heat stress levels of farm animals. These impacts could have detrimental effects on the milk quality and productivity of dairy ...
Lactation Milk Hot Temperature Dairying Farms Cattle Models, Theoretical Robotics Artificial Intelligence Female Animals
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Near-infrared spectroscopy coupled with chemometrics algorithms for the quantitative determination of the germinability of Clostridium perfringens in four different matrices.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Dec 28, 2019
Clostridium perfringens (C. perfringens) has the ability to form metabolically-dormant spores that can survive food preservation processes and cause food spoilage and foodborne safety risks upon germination outgrowth. This study was conducted to inve...
Food Microbiology Glucose Meat Products Colony Count, Microbial Clostridium Infections Humans Animals Milk Clostridium perfringens Food Handling Spectroscopy, Near-Infrared Food Preservation Fructose Chickens Spores, Bacterial Asparagine
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Nanoemulsions and acidified milk gels as a strategy for improving stability and antioxidant activity of yarrow phenolic compounds after gastrointestinal digestion.

Food research international (Ottawa, Ont.) Dec 18, 2019
The aim of this study was to improve the stability and antioxidant activity of yarrow phenolic compounds upon an in vitro simulated gastrointestinal digestion. Therefore, two types of caseins-based delivery systems, sodium caseinate stabilized nanoem...
Emulsions Achillea Phenols Milk Animals Beverages Digestion Gels Food Handling In Vitro Techniques Hydrogen-Ion Concentration Nanotechnology Antioxidants
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