Real-time model predictive control of surface irrigation for cotton: setup of field trial

McCarthy, Alison and Smith, Rod and Hancock, Nigel (2012) Real-time model predictive control of surface irrigation for cotton: setup of field trial. In: 16th Australian Cotton Conference (ACC 2012): Growing Better all the Time, 14-16 Aug 2012, Gold Coast, Australia.

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Abstract

Adaptive control strategies have been developed for real-time management of irrigation. A closed-loop irrigation control system requires: (1) some combination of weather, soil, plant and irrigation data (2) control strategy to determine irrigation application and/or timing
(3) actuator hardware to adjust irrigation application.

'VARIwise' framework develops and simulates site-specific irrigation control strategies. VARIwise has been adapted to determine site-specific irrigation requirements of cotton.

A model predictive control strategy has been applied to surface irrigation by:
- calibrating a crop production model using the available weather, soil and plant data
- using the crop model to predict the irrigation timing and/or volume that produces the desired performance
- using the surface irrigation model SISCO to determine the irrigation flow rate and advance trajectory that best corresponds to the optimal irrigation distribution

Statistics for this ePrint Item

Item Type:	Conference or Workshop Item (Commonwealth Reporting Category E) (Poster)
Refereed:	No
Item Status:	Live Archive
Additional Information:	No evidence of copyright restrictions preventing deposit.
Faculty/School / Institute/Centre:	Historic - Faculty of Engineering and Surveying - No Department (Up to 30 Jun 2013)
Faculty/School / Institute/Centre:	Historic - Faculty of Engineering and Surveying - No Department (Up to 30 Jun 2013)
Date Deposited:	19 Jun 2013 06:27
Last Modified:	15 Sep 2017 03:17
Uncontrolled Keywords:	modelling irrigation systems; VARIwise;
Fields of Research (2008):	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.)
Fields of Research (2020):	30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3002 Agriculture, land and farm management > 300205 Agricultural production systems simulation 40 ENGINEERING > 4007 Control engineering, mechatronics and robotics > 400799 Control engineering, mechatronics and robotics not elsewhere classified 30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3002 Agriculture, land and farm management > 300201 Agricultural hydrology
Socio-Economic Objectives (2008):	E Expanding Knowledge > 97 Expanding Knowledge > 970107 Expanding Knowledge in the Agricultural and Veterinary Sciences
URI:	http://eprints.usq.edu.au/id/eprint/22050

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