AIMC Topic: Dairying

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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...
Algorithms Fuzzy Logic Mastitis, Bovine Dairying Female Animals Cattle
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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...
Machine Learning Female Principal Component Analysis Lameness, Animal Dairying Animals Cattle Cattle Diseases Accelerometry
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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...
Milk Cattle Dairying Robotics Female Lactation Behavior, Animal Animals
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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 ...
Large Language Models Ruminants Cattle Decision Making Artificial Intelligence Dairying Machine Learning Animals
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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...
Mammary Glands, Animal Germany Mastitis, Bovine Dairying Animals Cattle Decision Trees Lactation Milk Expert Systems Anti-Bacterial Agents Female
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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 ...
Dairying Motivation Feeding Behavior Cattle Robotics Eating Animal Feed Lactation Milk Female Animals
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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...
Sensitivity and Specificity Animals Poland Radial Basis Function Networks Dairying Cattle Neural Networks, Computer Cattle Diseases 3-Hydroxybutyric Acid Female Milk Ketosis
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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...
Cattle Leukemia Virus, Bovine Dairying Supervised Machine Learning Female Algorithms Florida Risk Factors Seroepidemiologic Studies Retrospective Studies Enzootic Bovine Leukosis Animals
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Methodology for quality risk prediction for milk powder production plants with domain-knowledge-involved serial neural networks.

Food chemistry Nov 17, 2024
In dairy enterprises, predicting product quality attributes that are influenced by operating parameters is a major task. To reduce quality loss in production, a prediction-based quality control method is proposed in this study. In particular, a seria...
Cattle Neural Networks, Computer Powders Quality Control Animals Dairying Milk
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Deep-learning classification of teat-end conditions in Holstein cattle.

Research in veterinary science Oct 9, 2024
As a means of preventing mastitis, deep learning for classifying teat-end conditions in dairy cows has not yet been optimized. By using 1426 digital images of dairy cow udders, the extent of teat-end hyperkeratosis was assessed using a four-point sca...
Mammary Glands, Animal Mastitis, Bovine Dairying Animals Female Deep Learning Cattle
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