AIMC Topic: Dairying

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Determination of milk yield in water buffaloes using multi-class logistic regression and machine learning methods.

Tropical animal health and production Jul 28, 2025
In this study, Random Forest, Gradient Boosting Machines (GBM), and Support Vector Machines (SVM), Multi-Class Logistic Regression (MCLR) models were comparatively evaluated for the prediction of milk yield in water buffaloes. The study's main purpos...
Dairying Lactation Buffaloes Milk Machine Learning Pregnancy Female Animals Logistic Models
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Association of artificial intelligence-predicted milk yield residuals to behavioral patterns and transition success in multiparous dairy cows.

Journal of dairy science Jul 16, 2025
Data-driven health monitoring based on milk yield has shown potential to identify health-perturbing events during the transition period. As a proof of principle, we explored the association between the cow's residual milk yield, that is, the differen...
Artificial Intelligence Pregnancy Lactation Milk Dairying Female Behavior, Animal Animals Cattle
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Adaptive neuro-fuzzy inference systems for improved mastitis classification and diagnosis.

Scientific reports Jul 1, 2025
For modeling dairy cattle data, fuzzy logic offers the capability to manage uncertainty, enhance accuracy, facilitate informed decision-making, and optimize resource allocation. A critical aspect of dairy cattle production is the modeling of mastitis...
Dairying Cattle Fuzzy Logic Algorithms Mastitis, Bovine Female Animals
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Comparison of machine learning and validation methods for high-dimensional accelerometer data to detect foot lesions in dairy cattle.

PloS one Jun 27, 2025
Lameness is one of the major production diseases affecting dairy cattle. It is associated with negative welfare in affected cattle, economic losses at the farm level, and adverse effects on sustainability. Prompt identification of lameness is necessa...
Dairying Accelerometry Cattle Diseases Principal Component Analysis Lameness, Animal Female Animals Machine Learning Cattle
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Use of a priority lane to increase voluntary visits to a milking robot in dairy cows.

Journal of dairy science Apr 17, 2025
Voluntary visits to the milking robot are the basis of automatic milking system functionality. Therefore, problems arise when cows are undermotivated to visit the robot. Cows with reduced competitive abilities, specifically those that are lame or low...
Behavior, Animal Lactation Milk Dairying Female Animals Cattle Robotics
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International Symposium on Ruminant Physiology: Leveraging computer vision, large language models, and multimodal machine learning for optimal decision making in dairy farming.

Journal of dairy science Apr 11, 2025
This article explores various applications of artificial intelligence (AI) technologies in dairy farming, including the use of computer vision systems (CVS) for animal identification, BCS and body shape analysis, and potential uses of large language ...
Artificial Intelligence Machine Learning Dairying Large Language Models Ruminants Animals Cattle Decision Making
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[Validation of a decision tree for selective dry cow therapy of dairy for a digital expert system].

Tierarztliche Praxis. Ausgabe G, Grosstiere/Nutztiere Feb 18, 2025
In this study, a decision tree derived from scientific literature on selective dry cow therapy (ST), which was developed as a knowledge base for a digital expert system, was evaluated. The decision tree merges algorithmic (based on cell count results...
Decision Trees Lactation Milk Dairying Mammary Glands, Animal Female Animals Cattle Expert Systems Germany Mastitis, Bovine Anti-Bacterial Agents
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Providing concentrate feed outside of the milking robot increases feed intake in dairy cows without reducing motivation to visit the robot.

Animal : an international journal of animal bioscience Feb 10, 2025
Appropriate and adequate feeding is essential to maintaining good health, productivity and welfare of dairy cows. Within automatic milking systems, concentrate feed is offered inside the milking robot, and is thought to play a key role in motivating ...
Lactation Milk Motivation Feeding Behavior Dairying Robotics Eating Animal Feed Female Animals Cattle
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Prediction of ketosis using radial basis function neural network in dairy cattle farming.

Preventive veterinary medicine Dec 20, 2024
The purpose of the paper was to apply an Artificial Neural Networks with Radial Basis Function to develop an application model for diagnosing a subclinical ketosis type I and II in dairy cattle. While building the neural network model, applied method...
Animals Poland Cattle Neural Networks, Computer Female Sensitivity and Specificity Cattle Diseases 3-Hydroxybutyric Acid Milk Ketosis Dairying Radial Basis Function Networks
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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...
Supervised Machine Learning Florida Algorithms Risk Factors Enzootic Bovine Leukosis Animals Retrospective Studies Seroepidemiologic Studies Leukemia Virus, Bovine Cattle Female Dairying
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