Data considerations for developing deep learning models for dairy applications: A simulation study on mastitis detection

Benchmarking of farms with automated milking systems in Canada and associations with milk production and quality

(2021) R.D. Matson et al.   JOURNAL OF DAIRY SCIENCE

Mastitis detection with recurrent neural networks in farms using automated milking systems

(2021) S. Ali Naqvi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Array programming with NumPy

(2020) Charles R. Harris et al.   NATURE

Review: Application and Prospective Discussion of Machine Learning for the Management of Dairy Farms

(2020) Marianne Cockburn   Animals

Predicting the milk yield curve of dairy cows in the subsequent lactation period using deep learning

(2020) Arno Liseune et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Application of machine learning to improve dairy farm management: A systematic literature review

(2020) Naftali Slob et al.   PREVENTIVE VETERINARY MEDICINE

Invited review: Big Data in precision dairy farming

(2019) C. Lokhorst et al.   Animal

Comprehensive analysis of machine learning models for prediction of sub-clinical mastitis: Deep Learning and Gradient-Boosted Trees outperform other models

(2019) Mansour Ebrahimi et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Lameness detection of dairy cows based on the YOLOv3 deep learning algorithm and a relative step size characteristic vector

(2019) Dihua Wu et al.   BIOSYSTEMS ENGINEERING

The impact of extraneous features on the performance of recurrent neural network models in clinical tasks

(2019) Eugene Laksana et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Symposium review: Real-time continuous decision making using big data on dairy farms

(2019) Victor E. Cabrera et al.   JOURNAL OF DAIRY SCIENCE

Impact of automatic milking systems on dairy cattle producers’ reports of milking labour management, milk production and milk quality

(2018) C. Tse et al.   Animal

Dairy farmers with larger herd sizes adopt more precision dairy technologies

(2018) J.I. Gargiulo et al.   JOURNAL OF DAIRY SCIENCE

Housing, management characteristics, and factors associated with lameness, hock lesion, and hygiene of lactating dairy cattle on Upper Midwest United States dairy farms using automatic milking systems

(2018) James A. Salfer et al.   JOURNAL OF DAIRY SCIENCE

Udder health in Canadian dairy heifers during early lactation

(2018) S. Ali Naqvi et al.   JOURNAL OF DAIRY SCIENCE

Method for short-term prediction of milk yield at the quarter level to improve udder health monitoring

(2018) Ines Adriaens et al.   JOURNAL OF DAIRY SCIENCE

Genetic analysis of subclinical mastitis in early lactation of heifers using both linear and threshold models

(2018) Saranya G. Narayana et al.   JOURNAL OF DAIRY SCIENCE

Estimating genetic and phenotypic parameters of cellular immune-associated traits in dairy cows

(2017) Scott J. Denholm et al.   JOURNAL OF DAIRY SCIENCE

Contextual herd factors associated with cow culling risk in Québec dairy herds: A multilevel analysis

(2017) Denis Haine et al.   PREVENTIVE VETERINARY MEDICINE

Incidence rate of pathogen-specific clinical mastitis on conventional and organic Canadian dairy farms

(2016) L.J. Levison et al.   JOURNAL OF DAIRY SCIENCE

An assessment of producer precision dairy farming technology use, prepurchase considerations, and usefulness

(2015) M.R. Borchers et al.   JOURNAL OF DAIRY SCIENCE

Invited review: Changes in the dairy industry affecting dairy cattle health and welfare

(2015) H.W. Barkema et al.   JOURNAL OF DAIRY SCIENCE

Pathogen-specific incidence rate of clinical mastitis in Flemish dairy herds, severity, and association with herd hygiene

(2014) Joren Verbeke et al.   JOURNAL OF DAIRY SCIENCE

Classification in the Presence of Label Noise: A Survey

(2014) Benoit Frenay et al.   IEEE Transactions on Neural Networks and Learning Systems

Principal component analysis for the early detection of mastitis and lameness in dairy cows

(2013) Bettina Miekley et al.   JOURNAL OF DAIRY RESEARCH

Invited review: Sensors to support health management on dairy farms

(2013) C.J. Rutten et al.   JOURNAL OF DAIRY SCIENCE

Application of the Support Vector Machine to Predict Subclinical Mastitis in Dairy Cattle

(2013) Nazira Mammadova et al.   TheScientificWorldJOURNAL

Quarter-milking-, quarter-, udder- and lactation-level risk factors and indicators for clinical mastitis during lactation in pasture-fed dairy cows managed in an automatic milking system

(2012) JF Hammer et al.   AUSTRALIAN VETERINARY JOURNAL

Completeness of the disease recording systems for dairy cows in Denmark, Finland, Norway and Sweden with special reference to clinical mastitis

(2012) Cecilia Wolff et al.   BMC Veterinary Research

Diagnosing intramammary infections: Evaluation of composite milk samples to detect intramammary infections

(2011) K.K. Reyher et al.   JOURNAL OF DAIRY SCIENCE

Diagnosing intramammary infections: Comparison of multiple versus single quarter milk samples for the identification of intramammary infections in lactating dairy cows

(2011) I. Dohoo et al.   JOURNAL OF DAIRY SCIENCE

Diagnosing intramammary infections: Evaluation of definitions based on a single milk sample

(2010) I.R. Dohoo et al.   JOURNAL OF DAIRY SCIENCE

Sensors and Clinical Mastitis—The Quest for the Perfect Alert

(2010) Henk Hogeveen et al.   SENSORS

Using sensor data patterns from an automatic milking system to develop predictive variables for classifying clinical mastitis and abnormal milk

(2008) Claudia Kamphuis et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Incidence Rate of Clinical Mastitis on Canadian Dairy Farms

(2008) R.G.M. Olde Riekerink et al.   JOURNAL OF DAIRY SCIENCE