AIMC Topic: Milk

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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...
Female Animals Cattle Machine Learning Lactation Milk Algorithms Mastitis, Bovine
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Machine learning supported single-stranded DNA sensor array for multiple foodborne pathogenic and spoilage bacteria identification in milk.

Food chemistry Sep 6, 2024
Ensuring food safety through rapid and accurate detection of pathogenic bacteria in food products is a critical challenge in the food supply chain. In this study, a non-specific optical sensor array was proposed for the identification of multiple pat...
Animals Cattle Biosensing Techniques Neural Networks, Computer Machine Learning Food Microbiology Milk DNA, Single-Stranded Bacteria DNA, Bacterial Food Contamination
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Suitability of different machine learning algorithms for the classification of the proportion of grassland-based forages at the herd level using mid-infrared spectral information from routine milk control.

Journal of dairy science Aug 30, 2024
As the call for an international standard for milk from grassland-based production systems continues to grow, so too do the monitoring and evaluation policies surrounding this topic. Individual stipulations by countries and milk producers to market t...
Lactation Milk Dairying Cattle Animal Feed Grassland Machine Learning Algorithms Female Animals Diet
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Infrared spectroscopy coupled with machine learning algorithms for predicting the detailed milk mineral profile in dairy cattle.

Food chemistry Aug 8, 2024
Milk minerals are not only essential components for human health, but they can be informative for milk quality and cow's health. Herein, we investigated the feasibility of Fourier Transformed mid Infrared (FTIR) spectroscopy for the prediction of a d...
Female Animals Cattle Machine Learning Algorithms Milk Spectroscopy, Fourier Transform Infrared Minerals
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Comparative Analysis of Milking and Behavior Characteristics of Multiparous and Primiparous Cows in Robotic Systems.

Anais da Academia Brasileira de Ciencias Jul 19, 2024
Robotic milking systems are successful innovations in the development of dairy cattle. The objective of this study was to analyse the milking characteristics and behavior of dairy cows of different calving orders in "milk first" robotic milking syste...
Cattle Robotics Milk Parity Pregnancy Dairying Lactation Animals Female Behavior, Animal Brazil
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Predicting subacute ruminal acidosis from milk mid-infrared estimated fatty acids and machine learning on Canadian commercial dairy herds.

Journal of dairy science Jul 4, 2024
Our objective was to validate the possibility of detecting SARA from milk Fourier transform mid-infrared spectroscopy estimated fatty acids (FA) and machine learning. Subacute ruminal acidosis is a common condition in modern commercial dairy herds fo...
Rumen Fatty Acids Milk Acidosis Cattle Diseases Machine Learning Canada Female Animals Cattle
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Machine learning methods for unveiling the potential of antioxidant short peptides in goat milk-derived proteins during in vitro gastrointestinal digestion.

Journal of dairy science Jun 28, 2024
Milk serves as an important dietary source of bioactive peptides, offering notable benefits to individuals. Among the antioxidant short peptides (di- and tripeptides) generated from gastrointestinal digestion are characterized by enhanced bioavailabi...
Animals Peptides Antioxidants Goats Milk Digestion Machine Learning Milk Proteins
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Machine learning-assisted matrix-assisted laser desorption/ionization time-of-flight mass spectrometry toward rapid classification of milk products.

Journal of dairy science Jun 20, 2024
This study established a method for rapid classification of milk products by combining MALDI-TOF MS analysis with machine learning techniques. The analysis of 2 different types of milk products was used as an example. To select key variables as poten...
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Milk Animals Machine Learning Support Vector Machine Bayes Theorem
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Prediction of likelihood of conception in dairy cows using milk mid-infrared spectra collected before the first insemination and machine learning algorithms.

Journal of dairy science May 31, 2024
Accurate and ex-ante prediction of cows' likelihood of conception (LC) based on milk composition information could improve reproduction management on dairy farms. Milk composition is already routinely measured by mid-infrared (MIR) spectra, which are...
Pregnancy Fertilization Female Machine Learning Animals Algorithms Cattle Lactation Milk
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Detection of milk adulteration using coffee ring effect and convolutional neural network.

Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment May 30, 2024
A low-cost and effective method is reported to identify water and synthetic milk adulteration of cow's milk using coffee ring patterns. The cow's milk samples were diluted with tap water (TW), distilled water (DW) and mineral water (MW) and drop cast...
Food Contamination Milk Water Neural Networks, Computer Cattle Animals
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