Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/56616
Title: On the Deployment of Sensor-Based Technologies for Monitoring Supplement Intake Behaviours in Grazing Cattle-dataset
Contributor(s): Simanungkalit, Gamaliel  (creator)orcid ; Hegarty, Roger  (supervisor)
Publication Date: 2022-02-18
DOI: 10.25952/ptrr-w496
Handle Link: https://hdl.handle.net/1959.11/56616
Related Research Outputs: https://hdl.handle.net/1959.11/56615
Abstract/Context: The dataset consists of a collection of radio-frequency identification (RFID) system and accelerometer datasets from five experimental studies in grazing beef cattle. The RFID system was integrated into an automatic supplement feeder for monitoring the presence of individual grazing cattle when accessing block supplement provided through the feeder platform. Each individual cattle were fitted with an ear-tag accelerometer for identifying licking behaviour at the block supplement. The RFID data were collected using the structured query language (SQL) while the accelerometer data were downloaded using a proprietary software (OmGUI, Axivity Ltd, Newcastle Helix, Newcastle upon Tyne, UK).
Publication Type: Dataset
Fields of Research (FoR) 2020: 310901 Animal behaviour
300303 Animal nutrition
320907 Sensory systems
Socio-Economic Objective (SEO) 2020: 100401 Beef cattle
Keywords: Block supplement
Radio-Frequency identification
Accelerometer
Licking behaviours
Grazing cattle
Location: Armidale, New South Wales, Australia
HERDC Category Description: X Dataset
Project: On the Deployment of Sensor-Based Technologies for Monitoring Supplement Intake Behaviours in Grazing Cattle
Dataset Managed By: Gamaliel Simanungkalit
Rights Holder: Gamaliel Simanungkalit
Dataset Stored at: University of New England
Primary Contact Details: Gamaliel Simanungkalit - gamasimanungkalit@gmail.com
Dataset Custodian Details: Gamaliel Simanungkalit - gamasimanungkalit@gmail.com
Appears in Collections:Dataset
School of Environmental and Rural Science

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