Report from the Field: Results from an Agricultural Wireless Sensor Network
LCN '04 Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks
Environmental Modelling & Software
LCN '07 Proceedings of the 32nd IEEE Conference on Local Computer Networks
SmartCoast: A Wireless Sensor Network for Water Quality Monitoring
LCN '07 Proceedings of the 32nd IEEE Conference on Local Computer Networks
A real-time wireless smart sensor array for scheduling irrigation
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture
Koala: Ultra-Low Power Data Retrieval in Wireless Sensor Networks
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
Wireless sensor network deployment for water use efficiency in irrigation
Proceedings of the workshop on Real-world wireless sensor networks
Vineyard Computing: Sensor Networks in Agricultural Production
IEEE Pervasive Computing
Review: Wireless sensors in agriculture and food industry-Recent development and future perspective
Computers and Electronics in Agriculture
ICPPW '09 Proceedings of the 2009 International Conference on Parallel Processing Workshops
A sensor network for high frequency estimation of water quality constituent fluxes using surrogates
Environmental Modelling & Software
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The challenge of improving water quality is a growing global concern, typified by the European Commission Water Framework Directive and the United States Clean Water Act. The main drivers of poor water quality are economics, poor water management, agricultural practices and urban development. This paper reviews the extensive role of non-point sources, in particular the outdated agricultural practices, with respect to nutrient and contaminant contributions. Water quality monitoring (WQM) is currently undertaken through a number of data acquisition methods from grab sampling to satellite based remote sensing of water bodies. Based on the surveyed sampling methods and their numerous limitations, it is proposed that wireless sensor networks (WSNs), despite their own limitations, are still very attractive and effective for real-time spatio-temporal data collection for WQM applications. WSNs have been employed for WQM of surface and ground water and catchments, and have been fundamental in advancing the knowledge of contaminants trends through their high resolution observations. However, these applications have yet to explore the implementation and impact of this technology for management and control decisions, to minimise and prevent individual stakeholder's contributions, in an autonomous and dynamic manner. Here, the potential of WSN-controlled agricultural activities and different environmental compartments for integrated water quality management is presented and limitations of WSN in agriculture and WQM are identified. Finally, a case for collaborative networks at catchment scale is proposed for enabling cooperation among individually networked activities/stakeholders (farming activities, water bodies) for integrated water quality monitoring, control and management.