AIMC Topic: Dairying

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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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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 Dairying Sensitivity and Specificity Animals Cattle Machine Learning Mastitis Bayes Theorem Milk Lameness, Animal
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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 ...
Female Animals Farms Cattle Artificial Intelligence Milk Hot Temperature Models, Theoretical Dairying Robotics Lactation
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Automated prediction of mastitis infection patterns in dairy herds using machine learning.

Scientific reports Mar 9, 2020
Mastitis in dairy cattle is extremely costly both in economic and welfare terms and is one of the most significant drivers of antimicrobial usage in dairy cattle. A critical step in the prevention of mastitis is the diagnosis of the predominant route...
Animals Animal Husbandry Cattle Models, Statistical Machine Learning Female Mastitis, Bovine Infections Dairying
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Machine learning algorithms, bull genetic information, and imbalanced datasets used in abortion incidence prediction models for Iranian Holstein dairy cattle.

Preventive veterinary medicine Dec 17, 2019
The ability to predict abortion incidence, especially in regions with high abortion rates (e.g., Iran), helps improve reproductive performance and, thereby, dairy farm profitability. The objective of this study was to predict pregnancy loss in Irania...
Abortion, Induced Incidence Cattle Cattle Diseases Models, Theoretical Iran Datasets as Topic Dairying Abortion, Veterinary Machine Learning Algorithms Animals Male
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Machine learning models for predicting the use of different animal breeding services in smallholder dairy farms in Sub-Saharan Africa.

Tropical animal health and production Nov 15, 2019
This study is concerned with developing predictive models using machine learning techniques to be used in identifying factors that influence farmers' decisions, predict farmers' decisions, and forecast farmers' demands relating to breeding service. T...
Africa South of the Sahara Dairying Farmers Animals Cattle Humans Animal Husbandry Models, Theoretical Machine Learning Farms Cluster Analysis Female Surveys and Questionnaires Decision Making
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Automatic monitoring system for individual dairy cows based on a deep learning framework that provides identification via body parts and estimation of body condition score.

Journal of dairy science Sep 11, 2019
Body condition score (BCS) is a common tool for indirectly estimating the mobilization of energy reserves in the fat and muscle of cattle that meets the requirements of animal welfare and precision livestock farming for the effective monitoring of in...
Female Animals Deep Learning Ultrasonography Cattle Body Composition Dairying Lactation Animal Welfare Linear Models
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A comparison of machine learning and logistic regression in modelling the association of body condition score and submission rate.

Preventive veterinary medicine Aug 31, 2019
The effect of body condition score (BCS) on reproductive outcomes is complex, dynamic and non-linear with interaction and confounding. The flexibility inherent in machine learning algorithms makes them attractive for analysing complex data. This stud...
Logistic Models Body Constitution Lactation Machine Learning Decision Trees Animals Algorithms Reproduction New Zealand Female Cattle Breeding ROC Curve Dairying Models, Biological
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Using machine learning to estimate herbage production and nutrient uptake on Irish dairy farms.

Journal of dairy science Aug 22, 2019
Nutrient management on grazed grasslands is of critical importance to maintain productivity levels, as grass is the cheapest feed for ruminants and underpins these meat and milk production systems. Many attempts have been made to model the relationsh...
Dairying Ireland Lactation Machine Learning Nutrients Diet Female Poaceae Cattle Animals Animal Feed Milk
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Invited review: Hygienic quality, composition, and technological performance of raw milk obtained by robotic milking of cows.

Journal of dairy science Jun 27, 2019
Automatic milking systems (AMS), first introduced on dairy farms in the 1990s, rapidly spread across many countries. This technology is based on the voluntary milking of dairy cattle in a completely automated process, which relies on computer managem...
Dairying Hygiene Technology Dairy Products Cattle Food Quality Female Robotics Animals Lactation Milk
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