University of Tasmania
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A New approach to utilize augmented reality on precision livestock farming

conference contribution
posted on 2023-05-23, 13:32 authored by Zhao, Z, Wenli YangWenli Yang, Winyu ChinthammitWinyu Chinthammit, Richard RawnsleyRichard Rawnsley, Neumeyer, P, Stephen CahoonStephen Cahoon
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.

Funding

Department of State Growth (Tas)

History

Publication title

Proceedings from the Eurographics Symposium on Virtual Environments

Editors

D Fellner

Pagination

185-188

ISBN

9783038680383

Department/School

School of Information and Communication Technology

Publisher

Eurographics Association

Place of publication

Germany

Event title

27th International Conference on Artificial Reality and Telexistence; 22nd Eurographics Symposium on Virtual Environments

Event Venue

Adelaide, Australia

Date of Event (Start Date)

2017-11-22

Date of Event (End Date)

2017-11-24

Rights statement

Copyright The Authors

Repository Status

  • Restricted

Socio-economic Objectives

Beef cattle; Expanding knowledge in the information and computing sciences