相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Progression of different udder inflammation indicators and their episode length after onset of inflammation using automatic milking system sensor data
John Bonestroo et al.
JOURNAL OF DAIRY SCIENCE (2021)
Application of machine learning to improve dairy farm management: A systematic literature review
Naftali Slob et al.
PREVENTIVE VETERINARY MEDICINE (2021)
Automated prediction of mastitis infection patterns in dairy herds using machine learning
Robert M. Hyde et al.
SCIENTIFIC REPORTS (2020)
Performance of Online Somatic Cell Count Estimation in Automatic Milking Systems
Zhaoju Deng et al.
FRONTIERS IN VETERINARY SCIENCE (2020)
Deep Convolutional Neural Network for Mapping Smallholder Agriculture Using High Spatial Resolution Satellite Image
Bin Xie et al.
SENSORS (2019)
The detection of intramammary infections using online somatic cell counts
Gunnar Dalen et al.
JOURNAL OF DAIRY SCIENCE (2019)
Comprehensive analysis of machine learning models for prediction of sub-clinical mastitis: Deep Learning and Gradient-Boosted Trees outperform other models
Mansour Ebrahimi et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2019)
Hierarchical pattern recognition in milking parameters predicts mastitis prevalence
Esmaeil Ebrahimie et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)
Towards on-farm pig face recognition using convolutional neural networks
Mark E. Hansen et al.
COMPUTERS IN INDUSTRY (2018)
Development of a new clinical mastitis detection method for automatic milking systems
M. Khatun et al.
JOURNAL OF DAIRY SCIENCE (2018)
Early detection of clinical mastitis from electrical conductivity data in an automatic milking system
Momena Khatun et al.
ANIMAL PRODUCTION SCIENCE (2017)
Prioritizing alarms from sensor-based detection models in livestock production - A review on model performance and alarm reducing methods
K. N. Dominiak et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2017)
Evaluation of milk cathelicidin for detection of bovine mastitis
M. F. Addis et al.
JOURNAL OF DAIRY SCIENCE (2016)
Bayesian integration of sensor information and a multivariate dynamic linear model for prediction of dairy cow mastitis
Dan B. Jensen et al.
JOURNAL OF DAIRY SCIENCE (2016)
Use of inline measures of L-lactate dehydrogenase for classification of posttreatment mammary Staphylococcus aureus infection status in dairy cows
C. Hildebrandt Jorgensen et al.
JOURNAL OF DAIRY SCIENCE (2016)
Investigation of body and udder skin surface temperature differentials as an early indicator of mastitis in Holstein Friesian crossbred cows using digital infrared thermography technique
M. Sathiyabarathi et al.
VETERINARY WORLD (2016)
Early warnings from automatic milk yield monitoring with online synergistic control
T. Huybrechts et al.
JOURNAL OF DAIRY SCIENCE (2014)
Predicting mastitis in dairy cows using neural networks and generalized additive models: A comparison
S. Ankinakatte et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2013)
Mastitis detection in dairy cows: the application of support vector machines
B. Miekley et al.
JOURNAL OF AGRICULTURAL SCIENCE (2013)
Principal component analysis for the early detection of mastitis and lameness in dairy cows
Bettina Miekley et al.
JOURNAL OF DAIRY RESEARCH (2013)
Implementation of multivariate cumulative sum control charts in mastitis and lameness monitoring
Bettina Miekley et al.
JOURNAL OF DAIRY SCIENCE (2013)
Invited review: Sensors to support health management on dairy farms
C. J. Rutten et al.
JOURNAL OF DAIRY SCIENCE (2013)
Application of the Support Vector Machine to Predict Subclinical Mastitis in Dairy Cattle
Nazira Mammadova et al.
SCIENTIFIC WORLD JOURNAL (2013)
Mid-infrared prediction of lactoferrin content in bovine milk: potential indicator of mastitis
H. Soyeurt et al.
ANIMAL (2012)
Mastitis alert preferences of farmers milking with automatic milking systems
H. Mollenhorst et al.
JOURNAL OF DAIRY SCIENCE (2012)
Detection of mastitis and lameness in dairy cows using wavelet analysis
Bettina Miekley et al.
LIVESTOCK SCIENCE (2012)
Sensor measurements revealed: Predicting the Gram-status of clinical mastitis causal pathogens
C. Kamphuis et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2011)
Simplify the interpretation of alert lists for clinical mastitis in automatic milking systems
W. Steeneveld et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2010)
Decision-tree induction to detect clinical mastitis with automatic milking
C. Kamphuis et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2010)
Detection of mastitis and its stage of progression by automatic milking systems using artificial neural networks
Zhibin Sun et al.
JOURNAL OF DAIRY RESEARCH (2010)
Quantifying degree of mastitis from common trends in a panel of indicators for mastitis in dairy cows
S. Hojsgaard et al.
JOURNAL OF DAIRY SCIENCE (2010)
Detection of clinical mastitis with sensor data from automatic milking systems is improved by using decision-tree induction
C. Kamphuis et al.
JOURNAL OF DAIRY SCIENCE (2010)
Somatic cell count assessment at the quarter or cow milking level
H. Mollenhorst et al.
JOURNAL OF DAIRY SCIENCE (2010)
Discriminating between true-positive and false-positive clinical mastitis alerts from automatic milking systems
W. Steeneveld et al.
JOURNAL OF DAIRY SCIENCE (2010)
Sensors and Clinical Mastitis-The Quest for the Perfect Alert
Henk Hogeveen et al.
SENSORS (2010)
Providing probability distributions for the causal pathogen of clinical mastitis using naive Bayesian networks
W. Steeneveld et al.
JOURNAL OF DAIRY SCIENCE (2009)
An automated in-line clinical mastitis detection system using measurement of conductivity from foremilk of individual udder quarters
R. W. Claycomb et al.
NEW ZEALAND VETERINARY JOURNAL (2009)
Using sensor data patterns from an automatic milking system to develop predictive variables for classifying clinical mastitis and abnormal milk
Claudia Kamphuis et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2008)
Automatic Detection of Clinical Mastitis Is Improved by In-Line Monitoring of Somatic Cell Count
C. Kamphuis et al.
JOURNAL OF DAIRY SCIENCE (2008)
Mastitis detection in dairy cows by application of neural networks
D. Cavero et al.
LIVESTOCK SCIENCE (2008)
Estimating degree of mastitis from time-series measurements in milk: A test of a model based on lactate dehydrogenase measurements
N. C. Friggens et al.
JOURNAL OF DAIRY SCIENCE (2007)
Analysing serial data for mastitis detection by means of local regression
D. Cavero et al.
LIVESTOCK SCIENCE (2007)
Conceptual approaches for defining data, information, and knowledge
Chaim Zins
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY (2007)
Mastitis detection in dairy cows by application of fuzzy logic
D. Cavero et al.
LIVESTOCK SCIENCE (2006)
Visual scoring of clots in foremilk
MD Rasmussen
JOURNAL OF DAIRY RESEARCH (2005)
Electrical conductivity of milk: Ability to predict mastitis status
E Norberg et al.
JOURNAL OF DAIRY SCIENCE (2004)
Detection model for mastitis in cows milked in an automatic milking system
RM de Mol et al.
PREVENTIVE VETERINARY MEDICINE (2001)
Application of fuzzy logic in automated cow status monitoring
RM de Mol et al.
JOURNAL OF DAIRY SCIENCE (2001)