Article

Evaluation of three-dimensional accelerometers to monitor and classify behavior patterns in cattle

2009-01-01

Abstract excerpt

Cattle behavior is potentially a valuable indicator of health and well-being; however, natural movement patterns can be influenced by the presence of a human observer. A remote system could augment the ability of researchers, and eventually cattle producers, to monitor changes in cattle behavior. Constant video surveillance allows non-invasive behavior monitoring, but logging the movement patterns on individual an...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 372f8e43-6563-5274-b80e-e930081b65fa
DOI: 10.1016/j.compag.2009.03.002

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Evaluation of three-dimensional accelerometers to monitor and classify behavior patterns in cattleDOI 10.1016/j.compag.2009.03.002Read

Using animal-mounted sensor technology and machine learning to predict time-to-calving in beef and dairy cows.Semantic proximity Read

Genetic parameters of behavior traits of beef cattle classified using wearable devices.Semantic proximity Read

Impact of cross-validation designs on cattle behavior prediction using machine learning and deep learning models with tri-axial accelerometer dataSemantic proximity Read

Real-time and video-recorded cattle pain assessment: clinical application and reliabilitySemantic proximity Read

Using the XGBoost algorithm to classify neck and leg activity sensor data using on-farm health recordings for locomotor-associated diseasesSemantic proximity Read

Digital Phenotyping in Livestock FarmingSemantic proximity Read

The automatic detection of dairy cow feeding and standing behaviours in free-stall barns by a computer vision-based systemSemantic proximity Read

Use of fidget and drinking behaviour in combination with facial infrared thermography for diagnosis of bovine respiratory disease in a spontaneous model.Semantic proximity Read

Long-term, age-associated activity quantification in the DE50-MD dog model of Duchenne muscular dystrophy (DMD)Semantic proximity Read

Can an automated labelling method based on accelerometer data replace a human labeller? – Postural profile of farrowing sowsSemantic proximity Read

Ecological inference using data from accelerometers needs careful protocolsSemantic proximity Read

SOLARIA - SensOr-Driven ResiLient and Adaptive MonitoRIng of Farm AnimalsSemantic proximity Read