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This paper proposes a new method that utilizes AR to assist pasture-based dairy farmers identify and locate animal within large herds. Our proposed method uses GPS collars on cows and digital camera and on-board GPS on a mobile device to locate a selected cow and show the behavioral and other associated key metrics on our mobile application. The augmented cow’s information shown on real scene video steam will help users (farmers) manage their animals with respect to welfare, health, and management interventions. By integrating GPS data with computer vision (CV) and machine learning, our mobile AR application has two major functions: 1. Searching a cow by its unique ID, and 2. Displaying information associated with a selected cow visible on screen. Our proof-of-concept application shows the potential of utilizing AR in precision livestock farming.

Item Type:	Refereed Conference Paper
Keywords:	augmented reality, precision livestock farming, human-centered computing, dairy farming, GPS, cows
Research Division:	Information and Computing Sciences
Research Group:	Library and information studies
Research Field:	Human information interaction and retrieval
Objective Division:	Expanding Knowledge
Objective Group:	Expanding knowledge
Objective Field:	Expanding knowledge in the information and computing sciences
UTAS Author:	Zhao, Z (Dr Zongyuan Zhao)
UTAS Author:	Yang, W (Ms Wenli Yang)
UTAS Author:	Chinthammit, W (Dr Winyu Chinthammit)
UTAS Author:	Rawnsley, R (Dr Richard Rawnsley)
UTAS Author:	Neumeyer, P (Dr Paul Neumeyer)
UTAS Author:	Cahoon, S (Associate Professor Stephen Cahoon)
ID Code:	126714
Year Published:	2017
Deposited By:	Information and Communication Technology
Deposited On:	2018-06-21
Last Modified:	2018-07-31
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