An integrated WSN and mobile robot system for agriculture and environment applications

Zhou, Hong and Qi, Haixia and Banhazi, Thomas and Low, Tobias (2014) An integrated WSN and mobile robot system for agriculture and environment applications. In: 10th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MOBIQUITOUS 2013) , 2-4 Dec 2013, Tokyo, Japan.

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Abstract

Agriculture and environment issues are becoming increasingly important and are facing some new challenges. It is believed that wireless Sensor Networks (WSNs) and machine automation are among the key enabling technologies to address these challenging issues. Although extensive research has been conducted on individual technologies, their seamless integration to solve complex environmental problems has not been done before. This paper provides a design concept and some preliminary results for an integrated autonomous monitoring system. The integrated system will provide a powerful and cost-efficient tool for optimal, profitable, and sustainable management of environment and agriculture and thus bring significant social and economic benefits.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Speech)
Refereed: Yes
Item Status: Live Archive
Additional Information: Accepted version deposited in accordance with the copyright policy of the publisher.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering
Date Deposited: 11 Apr 2014 06:52
Last Modified: 22 Jun 2018 02:41
Uncontrolled Keywords: wireless sensor networks, robot localization, air quality, environment monitoring, animal welfare
Fields of Research : 09 Engineering > 0906 Electrical and Electronic Engineering > 090602 Control Systems, Robotics and Automation
10 Technology > 1005 Communications Technologies > 100503 Computer Communications Networks
Socio-Economic Objective: D Environment > 96 Environment > 9601 Air Quality > 960199 Air Quality not elsewhere classified
Identification Number or DOI: 10.1007/987-3-319-11569-6_3
URI: http://eprints.usq.edu.au/id/eprint/24485

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