AIMC Topic: Dairying

Clear Filters Showing 71 to 77 of 77 articles

Approaches for Measuring and Predicting Fouling During Thermal Processing of Dairy Solutions.

Comprehensive reviews in food science and food safety Jul 1, 2025
Fouling during the thermal processing of dairy products remains a significant challenge, reducing operational efficiency, increasing energy consumption, and complicating cleaning cycles. This review critically assesses current methods for measuring a...
Dairying Dairy Products Hot Temperature Food Handling
View on PubMed DOI

Modeling enteric methane emission from dairy cows using deep learning approach.

The Science of the total environment Jul 1, 2025
This study explores the application of deep learning (DL) models to predict methane (CH) emissions from enteric fermentation in dairy cows using performance, feeding, behavioral and weather data from automated milking and feeding systems, behavioral ...
Methane Air Pollutants Dairying Deep Learning Animals Environmental Monitoring Cattle
View on PubMed DOI

Farmers who implemented this, also implemented that: Use of association-rule-learning to improve biosecurity on dairies.

Preventive veterinary medicine Jun 1, 2025
Biosecurity practices are the cornerstone of disease prevention and control programs. In Canada, their implementation is evaluated with a Risk Assessment Questionnaire (RAQ). Association Rule Learning (ARL) - a non-supervised machine learning algorit...
Animals Biosecurity Machine Learning Cattle Diseases Dairying Cattle Surveys and Questionnaires Humans Quebec Farmers
View on PubMed DOI

Approaches for predicting dairy cattle methane emissions: from traditional methods to machine learning.

Journal of animal science Jan 3, 2024
Measuring dairy cattle methane (CH4) emissions using traditional recording technologies is complicated and expensive. Prediction models, which estimate CH4 emissions based on proxy information, provide an accessible alternative. This review covers th...
Methane Dairying Cattle Air Pollutants Animals Machine Learning
View on PubMed DOI

Forecasting the milk yield of cows on farms equipped with automatic milking system with the use of decision trees.

Animal science journal = Nihon chikusan Gakkaiho Jan 1, 2020
The purpose of this paper was to utilize the decision trees technique to determine the factors responsible for high monthly milk yield in Polish Holstein-Friesian cows from 27 herds equipped with milking robots. The applied statistical method-the dec...
Time Factors Decision Trees Cattle Animals Lactation Dairying Female Housing, Animal Milk Environment Animal Husbandry Robotics
View on PubMed DOI

A predictive model to evaluate the impact of the cooling profile on growth of psychrotrophic bacteria in raw milk from conventional and robotic milking.

The Journal of dairy research Aug 1, 2017
This Research Communication explores the usefulness of predictive modelling to explain bacterial behaviour during cooling. A simple dynamic lag phase model was developed and validated. The model takes into account the effect of the cooling profile on...
Time Factors Bacteria Cold Temperature Animals Milk Dairying Robotics
View on PubMed DOI

Animal Breeding learning from machine learning.

Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie Apr 1, 2017
Breeding Animals Selection, Genetic Dairying Machine Learning Models, Biological
View on PubMed DOI
Popular Topics
Recent Journals