Location based web and mobile applications for water resource management

Research output: Other contribution to conferenceAbstract


Optimal water resource management requires timely and accurate information on crop water requirements and groundwater status. Groundwater modelling, as well as agro-meteorological and spatial analyses, are needed to build such a decision support processes. The complexity of this multiple-informed process exceeds abilities of managers and farmers without the aid of computation. We present a web- and mobile-based Decision Support System (DSS) that integrates hydro-meteorological and socio-economic information for optimal decision-making. The DSS enables users to acquire and visualise their groundwater and soil quality data. It then automatically acquires current online weather data to estimate crop evapotranspiration and crop water requirements using approach from the Food and Agricultural Organisation (FAO). Users can estimate water requirements for multiple crops, compare this with their current groundwater status and use as guidance for irrigation requirements. Lastly, it enables users to visualise profitability of various crops to help inform optimal decision-making. Since this DSS is constructed and applied using integration as a guiding principle, it advances groundwater management from passive towards proactive real-time integrated decision support. The system has been developed as part of an Australian Centre for International Agricultural Research funded project led by CSU’s ILWS, and is currently being used by Pakistani researchers and farmers.
Original languageEnglish
Number of pages1
Publication statusPublished - 26 Nov 2020
EventResearch for a Changing World: ILWS Online Conference 2020 - Online
Duration: 26 Nov 202027 Nov 2020
https://www.csu.edu.au/research/ilws/engagement/events/ilws-conference-2020 (program and abstracts)


ConferenceResearch for a Changing World
Internet address


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