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A New approach to utilize augmented reality on precision livestock farming
Citation
Zhao, Z and Yang, W and Chinthammit, W and Rawnsley, R and Neumeyer, P and Cahoon, S, A New approach to utilize augmented reality on precision livestock farming, Proceedings from the Eurographics Symposium on Virtual Environments, 22-24 November 2017, Adelaide, Australia, pp. 185-188. ISBN 9783038680383 (2017) [Refereed Conference Paper]
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Copyright Statement
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DOI: doi:10.2312/egve.20171357
Abstract
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 Details
Item Type: | Refereed Conference Paper |
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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 |
Downloads: | 0 |
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