Data

On the Deployment of Sensor-Based Technologies for Monitoring Supplement Intake Behaviours in Grazing Cattle-dataset

University of New England, Australia
Simanungkalit, Gamaliel ; Hegarty, Roger
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25952/ptrr-w496&rft.title=On the Deployment of Sensor-Based Technologies for Monitoring Supplement Intake Behaviours in Grazing Cattle-dataset&rft.identifier=10.25952/ptrr-w496&rft.publisher=University of New England&rft.description=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).&rft.creator=Simanungkalit, Gamaliel &rft.creator=Hegarty, Roger &rft.date=2022&rft_rights=Rights holder: Gamaliel Simanungkalit&rft_subject=Animal behaviour&rft_subject=Zoology&rft_subject=BIOLOGICAL SCIENCES&rft_subject=Animal nutrition&rft_subject=Animal production&rft_subject=AGRICULTURAL, VETERINARY AND FOOD SCIENCES&rft_subject=Sensory systems&rft_subject=Neurosciences&rft_subject=BIOMEDICAL AND CLINICAL SCIENCES&rft_subject=100401 Beef cattle&rft.type=dataset&rft.language=English Access the data
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Rights holder: Gamaliel Simanungkalit

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gamasimanungkalit@gmail.com

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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).

Issued: 2022-02-18

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100401 Beef cattle | Agricultural, Veterinary and Food Sciences | Animal Behaviour | Animal Nutrition | Animal Production | Biological Sciences | Biomedical and Clinical Sciences | Neurosciences | Sensory Systems | Zoology |

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handle : https://hdl.handle.net/1959.11/56615

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