Combining multivariate cumulative sum control charts with principal component analysis and partial least squares model to detect sickness behaviour in dairy cattle
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Combining multivariate cumulative sum control charts with principal component analysis and partial least squares model to detect sickness behaviour in dairy cattle
Authors
Keywords
Sickness behaviour detection, Behaviour, Latent variables, MCUSUM charts
Journal
COMPUTERS AND ELECTRONICS IN AGRICULTURE
Volume 186, Issue -, Pages 106209
Publisher
Elsevier BV
Online
2021-05-18
DOI
10.1016/j.compag.2021.106209
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Variable selection for monitoring sickness behavior in lactating dairy cattle with the application of control charts
- (2021) I. Dittrich et al. JOURNAL OF DAIRY SCIENCE
- Using the XGBoost algorithm to classify neck and leg activity sensor data using on-farm health recordings for locomotor-associated diseases
- (2020) M. Gertz et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Towards practical application of sensors for monitoring animal health; design and validation of a model to detect ketosis
- (2017) Machteld Steensels et al. JOURNAL OF DAIRY RESEARCH
- A decision-tree model to detect post-calving diseases based on rumination, activity, milk yield, BW and voluntary visits to the milking robot
- (2016) M. Steensels et al. Animal
- Use of rumination and activity monitoring for the identification of dairy cows with health disorders: Part II. Mastitis
- (2016) M.L. Stangaferro et al. JOURNAL OF DAIRY SCIENCE
- Associations between lying behavior and lameness in Canadian Holstein-Friesian cows housed in freestall barns
- (2016) L. Solano et al. JOURNAL OF DAIRY SCIENCE
- Use of Extended Characteristics of Locomotion and Feeding Behavior for Automated Identification of Lame Dairy Cows
- (2016) Gian Beer et al. PLoS One
- Behavioral changes in freestall-housed dairy cows with naturally occurring clinical mastitis
- (2015) K.K. Fogsgaard et al. JOURNAL OF DAIRY SCIENCE
- Principal component analysis for the early detection of mastitis and lameness in dairy cows
- (2013) Bettina Miekley et al. JOURNAL OF DAIRY RESEARCH
- Implementation of multivariate cumulative sum control charts in mastitis and lameness monitoring
- (2013) Bettina Miekley et al. JOURNAL OF DAIRY SCIENCE
- Invited review: Sensors to support health management on dairy farms
- (2013) C.J. Rutten et al. JOURNAL OF DAIRY SCIENCE
- A review of variable selection methods in Partial Least Squares Regression
- (2012) Tahir Mehmood et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Sickness behavior in dairy cows during Escherichia coli mastitis
- (2012) K.K. Fogsgaard et al. JOURNAL OF DAIRY SCIENCE
- Sensors and Clinical Mastitis—The Quest for the Perfect Alert
- (2010) Henk Hogeveen et al. SENSORS
- Prepartum feeding behavior is an early indicator of subclinical ketosis
- (2009) C. Goldhawk et al. JOURNAL OF DAIRY SCIENCE
- Mastitis and lameness detection in dairy cows by application of fuzzy logic
- (2009) E. Kramer et al. Livestock Science
- BOARD-INVITED REVIEW: Using behavior to predict and identify ill health in animals1
- (2008) D. M. Weary et al. JOURNAL OF ANIMAL SCIENCE
- Sickness behavior, its mechanisms and significance
- (2008) Ian Tizard ANIMAL HEALTH RESEARCH REVIEWS
- Mastitis detection in dairy cows by application of neural networks
- (2007) D. Cavero et al. Livestock Science
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More