Exploration of data requirements for adaptive control of irrigation scheduling

McCarthy, Alison and Hancock, Nigel and Raine, Steven R. (2009) Exploration of data requirements for adaptive control of irrigation scheduling. In: SEAg 2009: Agricultural Technologies in a Changing Climate, 13-16 Sep 2009, Brisbane, Australia.

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Irrigation scheduling using physical and agronomic principles can improve both application and crop water use efficiencies. However, irrigation traditionally involves applying the same volume of water across an entire field, although not all plants in the field have the same water requirements. An adaptive control strategy is needed to locally control water applications in response to infield temporal and spatial variability with the aim of maximising both crop development and water use efficiency.

A simulation framework ‘VARIwise’ has been created to aid the development, evaluation and management of spatially and temporally varied adaptive irrigation control strategies (McCarthy et al., 2008). VARIwise enables alternative control strategies to be simulated with different crop and environmental conditions and at a range of spatial resolutions.

This paper reports a 2008/09 field study which examined the utility of three sensed variables – weather (evaporative demand), soil moisture and plant height – for the determination of appropriate irrigation management strategies in a cotton crop. The relative significance of each sensed variable (either singly or in combination) as a control input was evaluated using VARIwise. The implications for sensed data requirements and the implementation of adaptive irrigation control strategies are discussed.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: No
Item Status: Live Archive
Additional Information: Authors retain copyright.
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Mechanical and Mechatronic Engineering
Date Deposited: 13 Dec 2009 06:30
Last Modified: 02 Jul 2013 23:27
Uncontrolled Keywords: irrigation scheduling; adaptive control; automation; water use efficiency; spatial variability
Fields of Research : 07 Agricultural and Veterinary Sciences > 0701 Agriculture, Land and Farm Management > 070103 Agricultural Production Systems Simulation
09 Engineering > 0913 Mechanical Engineering > 091302 Automation and Control Engineering
07 Agricultural and Veterinary Sciences > 0799 Other Agricultural and Veterinary Sciences > 079901 Agricultural Hydrology (Drainage, Flooding, Irrigation, Quality, etc.)
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
URI: http://eprints.usq.edu.au/id/eprint/5960

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