The role of learning in making precision livestock technologies welfare-friendly: A virtual fencing case study-dataset

Title
The role of learning in making precision livestock technologies welfare-friendly: A virtual fencing case study-dataset
Publication Date
2021-04-26
Author(s)
Kearton, Tellisa Renee
( creator )
OrcID: https://orcid.org/0000-0001-8062-7337
Email: tkearto2@une.edu.au
UNE Id une-id:tkearto2
Lee, Caroline
Marini, Danila
( supervisor )
OrcID: https://orcid.org/0000-0002-1082-6848
Email: dmarini2@une.edu.au
UNE Id une-id:dmarini2
Cowley, Frances
( supervisor )
OrcID: https://orcid.org/0000-0002-6475-1503
Email: fcowley@une.edu.au
UNE Id une-id:fcowley
Type of document
Dataset
Language
en
Entity Type
Publication
Publisher
University of New England
Place of publication
Armidale, Australia
UNE publication id
une:1959.11/56584
Abstract
This dataset was produced during the course of PhD candidature. It consists of measures of welfare including behaviour, plasma cortisol, and body temperature. Additionally, it contains measures of learning using a number of stimuli received and behavioural responses. Data is organised by experiment, and results are contained within subfolders.
Link
link

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