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

Author(s)
Kearton, Tellisa Renee
Lee, Caroline
Marini, Danila
Cowley, Frances
Publication Date
2021-04-26
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
https://hdl.handle.net/1959.11/56584
Language
en
Publisher
University of New England
Title
The role of learning in making precision livestock technologies welfare-friendly: A virtual fencing case study-dataset
Type of document
Dataset
Entity Type
Publication

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