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Wireless adhoc sensor and actuator networks on the farm
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Source Information Processing In Sensor Networks archive
Proceedings of the 5th international conference on Information processing in sensor networks table of contents
Nashville, Tennessee, USA
SESSION: SPOTS'06 session 5--applications table of contents
Pages: 492 - 499  
Year of Publication: 2006
ISBN:1-59593-334-4
Authors
Pavan Sikka  CSIRO ICT Centre, Kenmore, QLD, Australia
Peter Corke  CSIRO ICT Centre, Kenmore, QLD, Australia
Philip Valencia  CSIRO ICT Centre, Kenmore, QLD, Australia
Christopher Crossman  CSIRO ICT Centre, Kenmore, QLD, Australia
Dave Swain  Rendell Labs, Rockhampton, QLD, Australia
Greg Bishop-Hurley  Rendell Labs, Rockhampton, QLD, Australia
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 14,   Downloads (12 Months): 322,   Citation Count: 4
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ABSTRACT

Agriculture accounts for a significant portion of the GDP in most developed countries. However, managing farms, particularly large-scale extensive farming systems, is hindered by lack of data and increasing shortage of labour. We have deployed a large heterogeneous sensor network on a working farm to explore sensor network applications that can address some of the issues identified above. Our network is solar powered and has been running for over 6 months. The current deployment consists of over 40 moisture sensors that provide soil moisture profiles at varying depths, weight sensors to compute the amount of food and water consumed by animals, electronic tag readers, up to 40 sensors that can be used to track animal movement (consisting of GPS, compass and accelerometers), and 20 sensor/actuators that can be used to apply different stimuli (audio, vibration and mild electric shock) to the animal. The static part of the network is designed for 24/7 operation and is linked to the Internet via a dedicated high-gain radio link, also solar powered. The initial goals of the deployment are to provide a testbed for sensor network research in programmability and data handling while also being a vital tool for scientists to study animal behavior. Our longer term aim is to create a management system that completely transforms the way farms are managed.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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D. Anderson. Animal control system using global positioning and instrumental animal conditioning. US Patent Number 6232880, May 2001. patent.
 
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G. J. Bishop-Hurley, D. L. Swain, D. M. Anderson, P. Corke, P. Sikka, and C. Crossman. Understanding interactions between autonomous animal control and temperament when cattle are subjected to virtual fencing applications. In Horizons in Livestock Sciences - Redesigning Animal Agriculture, 2005.
 
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P. Corke, S. Hrabar, R. Peterson, D. Rus, S. Saripalli, and G. Sukhatme. Deployment and connectivity repair for a sensor network with a flying robot. In International Symposium on Experimental Robotics, June 2004.
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D. Kotz, C. Newport, and C. Elliott. The mistaken axioms of wireless-network research. Computer Science TR2003-467, Dartmouth College, July 2003.
 
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R. C. Shah, S. Roy, S. Jain, and W. Brunette. Data mules: Modeling a three-tier architecture for sparse sensor network. In IEEE Workshop on Sensor Network Protocols and Applications (SNPA). IEEE, 2003.
 
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Z.Butler, P. Corke, R. Peterson, and D. Rus. Virtual fences for controlling cows. In International Conference on Robotics and Automation, pages 4429--4436, New Orleans, Apr. 2004.
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Collaborative Colleagues:
Pavan Sikka: colleagues
Peter Corke: colleagues
Philip Valencia: colleagues
Christopher Crossman: colleagues
Dave Swain: colleagues
Greg Bishop-Hurley: colleagues