Development and simulation of sensor-based irrigation control strategies for cotton using the VARIwise simulation framework
Article
Article Title | Development and simulation of sensor-based irrigation control strategies for cotton using the VARIwise simulation framework |
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ERA Journal ID | 41630 |
Article Category | Article |
Authors | McCarthy, Alison C. (Author), Hancock, Nigel H. (Author) and Raine, Steven R. (Author) |
Journal Title | Computers and Electronics in Agriculture |
Journal Citation | 101, pp. 148-162 |
Number of Pages | 15 |
Year | 2014 |
Publisher | Elsevier |
Place of Publication | Netherlands |
ISSN | 0168-1699 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.compag.2013.12.014 |
Web Address (URL) | http://www.sciencedirect.com/science/article/pii/S0168169913003013 |
Abstract | Feedback control systems offer opportunities to accommodate spatial and temporal differences in crop water requirement and to improve the automated irrigation of field crops via real-time data from in-field plant, soil-water and evaporation sensing. This paper describes two sensor-based strategies applied to irrigation control, 'Iterative Learning Control' (ILC) and custom-designed 'Iterative Hill Climbing Control' (IHCC), implemented in the control simulation and evaluation framework 'VARIwise'. Simulation of an irrigated cotton crop using soils and merged 1999-2004 weather data of SE Queensland, Australia, and represented by the performance of the well-validated cotton growth and production model OZCOT, permitted the relative performance of differing sensor data types and availability to be evaluated (both as alternatives and in combination) in meeting the requirement to optimise either crop yield or water use efficiency. These simulations indicated that ILC would perform better at maintaining soil-water deficit, whilst IHCC would be better at maximising crop yield when plant and soil sensors were utilised in combination. This work demonstrates that the optimal choice of field sensor(s) and control strategy will be a function of the irrigation objective and the spatial and temporal availability and type of field measurements. |
Keywords | variable-rate irrigation; centre pivot; lateral move; scheduling; automation; OZCOT; VARIwise |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 300205. Agricultural production systems simulation |
400799. Control engineering, mechatronics and robotics not elsewhere classified | |
300201. Agricultural hydrology | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | National Centre for Engineering in Agriculture |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q235q/development-and-simulation-of-sensor-based-irrigation-control-strategies-for-cotton-using-the-variwise-simulation-framework
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