Evaluating the performance of a real-time optimisation system for furrow irrigation
Article
Koech, R. K., Smith, R. J. and Gillies, M. H.. 2014. "Evaluating the performance of a real-time optimisation system for furrow irrigation ." Agricultural Water Management. 142, pp. 77-87. https://doi.org/10.1016/j.agwat.2014.04.020
| Article Title | Evaluating the performance of a real-time optimisation system for furrow irrigation |
|---|---|
| ERA Journal ID | 5245 |
| Article Category | Article |
| Authors | Koech, R. K. (Author), Smith, R. J. (Author) and Gillies, M. H. (Author) |
| Journal Title | Agricultural Water Management |
| Journal Citation | 142, pp. 77-87 |
| Number of Pages | 11 |
| Year | 2014 |
| Publisher | Elsevier |
| Place of Publication | Netherlands |
| ISSN | 0378-3774 |
| 1873-2283 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1016/j.agwat.2014.04.020 |
| Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S0378377414001395 |
| Abstract | This paper reports the performance evaluations undertaken on a real-time optimisation system for furrow irrigation (AutoFurrow). Trials for the system were undertaken on commercial furrow-irrigated cotton properties near St George and Dalby, Queensland Australia. The system performed robustly in the field and demonstrated its potential for substantial water savings; however, the results suggested that there was further scope for improvement in performance. To identify opportunities for improvement, the surface irrigation simulation model SISCO was used to investigate the effect of varying: the objective function, flow rate, irrigation deficit, infiltration scaling process and the model infiltration curve. It was found that a simple objective function that aims to maximise application efficiency (AE) can deliver accurate prediction of the irrigation performance and potentially add to the robustness of the optimisation process. It was also demonstrated that if a suitable flow rate is selected initially, then no further change is warranted. The predicted time to cut-off (TCO) was relatively insensitive to the irrigation deficit; however, any change in the irrigation deficit altered the AE predicted. |
| Keywords | furrow irrigation; performance; real-time optimisation system |
| ANZSRC Field of Research 2020 | 300207. Agricultural systems analysis and modelling |
| 409901. Agricultural engineering | |
| 300201. Agricultural hydrology | |
| Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
| Byline Affiliations | University of South Australia |
| National Centre for Engineering in Agriculture | |
| Institution of Origin | University of Southern Queensland |
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