Geo-informatics based Intelligent Decision Support System for Efficient Irrigation Water Management

Mahmood Khan, Md Zahidul Islam, Muhammad Hafeez, Wolfgang Flugel, Yann Chemin

Research output: Book chapter/Published conference paperConference paper

Abstract

Prolonged drought and water shortages pose the need for efficient water use in agriculture.Tools for monitoring irrigation water use and water productivity are becoming increasinglyimportant. Agriculture is the primary water consumer in Australia, accounting for 70% of thetotal consumptive water. Since all the available water resources are fully committed andadditional water is not available the best strategy is to enhance water productivity. Forefficient water management there is a need for integration of spatial data on variousaspects of water supply and demand. Advances in Remote Sensing (RS), InformationTechnology, Geographical Information System and hydrological modeling offer a novel wayto integrate the spatial data to estimate actual water use, water demand, and allocation in areal time environment.This paper presents a Decision Support System (DSS) called Integrated River Information System (IRIS) which has data storage and retrieval functions, and hydrological models to make the decision-making process simple and interactive for a smart water management system. The DSS is developed using the PHP (Hypertext Preprocessor) scripting language. The PHP generally runs on a web server (Apache). PostgreSQL is chosen as the database,because it is object relational database management system (ORDBMS) and open sourcesoftware. Map Server is used as a platform for displaying the geodata within the DSS.The IRIS is developed for the Coleambally irrigation Area located in the southeastern MurrayDarling Basin of Australia.The IRIS is a comprehensive web-based platform involving RStechnologies, and wireless sensor networks to encompass a range of spatial and temporaldata processing, for water management decision-making at the irrigated farm and nodelevel.IRIS can assists the irrigation companies and farmers in operational decision making, byusing information from integrated analysis of hydrological data and near real time RSprocessed data for better irrigation water management.
Original languageEnglish
Title of host publicationARSPC
Subtitle of host publication15th Conference proceedings
Place of PublicationAustralia
PublisherARSPC
Pages1
Number of pages1
Publication statusPublished - 2010
EventAustralasian Remote Sensing and Photogrammetry Conference (ARSPC) - Alice Springs, NT, Australia
Duration: 13 Sep 201017 Sep 2010

Conference

ConferenceAustralasian Remote Sensing and Photogrammetry Conference (ARSPC)
CountryAustralia
Period13/09/1017/09/10

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  • Cite this

    Khan, M., Islam, M. Z., Hafeez, M., Flugel, W., & Chemin, Y. (2010). Geo-informatics based Intelligent Decision Support System for Efficient Irrigation Water Management. In ARSPC: 15th Conference proceedings (pp. 1). ARSPC.