Water Information Services to Boost Irrigation Productivity

Grant number: LP170100710 | Funding period: 2018 - 2022

Completed

Abstract

This project aims to develop an integrated irrigation scheduling, benchmarking and forecasting capability delivered through a water ordering portal that is used by most Australian irrigation farmers and many farmers internationally. Ensuring adoption is critical and this will be facilitated through integration into the existing water ordering system. Expected outcomes include improved ability to manage irrigation water through better use of existing weather observations and forecasts, irrigation data, and satellite observations to inform farmer decisions. This is expected to result in improvement in water productivity, leading to economic benefit and an improved ability to meet growing globa..

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Related publications (3)

Parsimonious Gap-Filling Models for Sub-Daily Actual Evapotranspiration Observations from Eddy-Covariance Systems

Danlu Guo, Arash Parehkar, Dongryeol Ryu, Quan J Wang, Andrew W Western

2022-03-01

Missing data and low data quality are common issues in field observations of actual evapotranspiration (ETa) from eddy-covariance ..

Enhancing the Accuracy and Temporal Transferability of Irrigated Cropping Field Classification Using Optical Remote Sensing Imagery

Zitian Gao, Danlu Guo, Dongryeol Ryu, Andrew W Western

2022-02-01

Mapping irrigated areas using remotely sensed imagery has been widely applied to support agricultural water management; however, a..

Using remote sensing information to improve input data quality for irrigation benchmarking

zitian Gao, danlu Guo, Arash Parehkar, Dongryeol Ryu, Quan Wang, Andrew Western

2022-01-01

University of Melbourne Researchers

Andrew Western Infrastructure Engineering

Dongryeol Ryu Infrastructure Engineering

Q J Wang Infrastructure Engineering