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

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

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

The effect of J5 bacterins on clinical, behavioral, and antibody response following an Escherichia coli intramammary challenge in dairy cows at peak lactation

(2019) N.M. Steele et al.   JOURNAL OF DAIRY SCIENCE

Graduate Student Literature Review: Detecting health disorders using data from automatic milking systems and associated technologies

(2018) M.T.M. King et al.   JOURNAL OF DAIRY SCIENCE

Behavior and productivity of cows milked in automated systems before diagnosis of health disorders in early lactation

(2018) M.T.M. King et al.   JOURNAL OF DAIRY SCIENCE

Development of a new clinical mastitis detection method for automatic milking systems

(2018) M. Khatun et al.   JOURNAL OF DAIRY SCIENCE

Ability of milk pH to predict subclinical mastitis and intramammary infection in quarters from lactating dairy cattle

(2018) S.A. Kandeel et al.   JOURNAL OF DAIRY SCIENCE

Deviations in behavior and productivity data before diagnosis of health disorders in cows milked with an automated system

(2017) M.T.M. King et al.   JOURNAL OF DAIRY SCIENCE

Effect of transitioning to automatic milking systems on producers' perceptions of farm management and cow health in the Canadian dairy industry

(2017) C. Tse et al.   JOURNAL OF DAIRY SCIENCE

Changes in behaviour of dairy cows with clinical mastitis

(2016) Pilar Sepúlveda-Varas et al.   APPLIED ANIMAL BEHAVIOUR SCIENCE

Bayesian integration of sensor information and a multivariate dynamic linear model for prediction of dairy cow mastitis

(2016) Dan B. Jensen et al.   JOURNAL OF DAIRY SCIENCE

Changes in milk yield, lactate dehydrogenase, milking frequency, and interquarter yield ratio persist for up to 8 weeks after antibiotic treatment of mastitis

(2015) K.K. Fogsgaard et al.   JOURNAL OF DAIRY SCIENCE

Predicting mastitis in dairy cows using neural networks and generalized additive models: A comparison

(2013) S. Ankinakatte et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Impact of acute clinical mastitis on cow behaviour

(2011) Jutta Siivonen et al.   APPLIED ANIMAL BEHAVIOUR SCIENCE

Test-day somatic cell score, fat-to-protein ratio and milk yield as indicator traits for sub-clinical mastitis in dairy cattle

(2011) J. Jamrozik et al.   JOURNAL OF ANIMAL BREEDING AND GENETICS

Pathogen group specific risk factors at herd, heifer and quarter levels for intramammary infections in early lactating dairy heifers

(2011) S. Piepers et al.   PREVENTIVE VETERINARY MEDICINE

Sensors and Clinical Mastitis—The Quest for the Perfect Alert

(2010) Henk Hogeveen et al.   SENSORS

Detection of mastitis and its stage of progression by automatic milking systems using artificial neural networks

(2009) Zhibin Sun et al.   JOURNAL OF DAIRY RESEARCH

Mastitis detection in dairy cows by application of neural networks

(2007) D. Cavero et al.   Livestock Science