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.
|Number of pages||1|
|Publication status||Published - 26 Nov 2020|
|Event||Research for a Changing World: ILWS Online Conference 2020 - Online|
Duration: 26 Nov 2020 → 27 Nov 2020
https://www.csu.edu.au/research/ilws/engagement/events/ilws-conference-2020 (program and abstracts)
|Conference||Research for a Changing World|
|Period||26/11/20 → 27/11/20|
|Other||The Institute’s first-ever on-line conference has been hailed as a “resounding success.” The free conference, which was held November 26 and 27, 2020, was an opportunity for members to share the results and conclusions from recent projects|
and activities and to showcase the work of our strong research teams.
The presentations represented all categories of Institute membership – Full Member, Associate Member, Adjunct and Student. There were also two presentations by undergraduate students associated with the Institute.
The Conference is free and open to everyone.
The program reflects the multi and trans-disciplinary research ethos of ILWS.