Please use this identifier to cite or link to this item: http://hdl.handle.net/1/4043
Title: Postgraduate: Alison McCarthy – Optimal irrigation of cotton via real-time, adaptive control of large mobile irrigation machines
Authors: McCarthy, Alison
Keywords: strategies
profitability
sustainabililty
economic
environmental
social
water usage
WUE
irrigation systems
yield
control systems
OZCOT
management
decision tools
measurement
VANwise
site-specific
LMIM
CP&LM
LEPA
modernisation
evaluation
real-time input
extension and adoption
Issue Date: 30-Jun-2010
Publisher: University of Southern Queensland
Series/Report no.: ;USQ9
Abstract: Improving the efficiency of water use in agriculture is increasingly essential to maintain the profitability and sustainability of farms. This involves applying only the minimum necessary irrigation water to maintain or improve the yield of individual plants. Irrigation control strategies can be used to improve site-specific irrigation. These control strategies generally require weather, plant and/or soil data to determine irrigation volumes and/or timing that improve crop water use efficiency while maintaining or improving crop yield. As the plant response and environmental conditions fluctuate throughout the season, control strategies which accommodate temporal and spatial vanability in the field and which locally modify the control actions (irrigation amounts) need to be 'adaptive'. Such irrigation control systems may then be implemented on large mobile irrigation machine, both 'lateral move' and 'centre pivot' configurations, to provide automatic machine operation A simulation framework 'VANwise' has been created to aid the development, evaluation and management of spatialIy and temporalIy varied site-specific irrigation control strategies. The cotton model OZCOT has been integrated into VANwise to provide feedback data in the control strategy simulations. VANwise can accommodate sub-field scale variations in allinput parameters using a one square metre cell size, and permits application of differing control strategies within the field, as well as differing irrigation amounts down to this scale. An automatic model calibration procedure was also developed for VARlwise to enable real-time input of field data into the framework. The model calibration procedure was accurately implemented with measured field data and the calibrated model was then used to evaluate the effect of using different data inputs in an irrigation control system.
URI: http://hdl.handle.net/1/4043
Appears in Collections:2010 Final Reports

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