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Sensors 2009, 9(5), 3586-3603; doi:10.3390/s90503586

Monitoring Animal Behaviour and Environmental Interactions Using Wireless Sensor Networks, GPS Collars and Satellite Remote Sensing

1
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Livestock Industries, Private Bag 5, Floreat, WA, 6014, Australia
2
CSIRO, Livestock Industries, JM Rendel Laboratory, Ibis Avenue, North Rockhampton, QLD, 4701, Australia
3
CSIRO, ICT Centre, P.O. Box 883, Kenmore, QLD, 4069, Australia
*
Author to whom correspondence should be addressed.
Received: 9 April 2009 / Revised: 4 May 2009 / Accepted: 13 May 2009 / Published: 13 May 2009
(This article belongs to the Special Issue Wireless Sensor Technologies and Applications)
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Abstract

Remote monitoring of animal behaviour in the environment can assist in managing both the animal and its environmental impact. GPS collars which record animal locations with high temporal frequency allow researchers to monitor both animal behaviour and interactions with the environment. These ground-based sensors can be combined with remotely-sensed satellite images to understand animal-landscape interactions. The key to combining these technologies is communication methods such as wireless sensor networks (WSNs). We explore this concept using a case-study from an extensive cattle enterprise in northern Australia and demonstrate the potential for combining GPS collars and satellite images in a WSN to monitor behavioural preferences and social behaviour of cattle.
Keywords: animal-landscape interactions; cattle; social behaviour; high fix-rate GPS; telemetry data; extensive cattle system animal-landscape interactions; cattle; social behaviour; high fix-rate GPS; telemetry data; extensive cattle system
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Handcock, R.N.; Swain, D.L.; Bishop-Hurley, G.J.; Patison, K.P.; Wark, T.; Valencia, P.; Corke, P.; O’Neill, C.J. Monitoring Animal Behaviour and Environmental Interactions Using Wireless Sensor Networks, GPS Collars and Satellite Remote Sensing. Sensors 2009, 9, 3586-3603.

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