A decision support system for sugarcane irrigation supply and demand management

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dc.contributor.advisorStray, Jonasen_ZA
dc.contributor.advisorStewart, Theodor Jen_ZA
dc.contributor.authorPatel, Zubairen_ZA
dc.date.accessioned2017-06-01T10:10:39Z
dc.date.available2017-06-01T10:10:39Z
dc.date.issued2017en_ZA
dc.description.abstractCommercial sugarcane farming requires large quantities of water to be delivered to the fields. Ideal irrigation schedules are produced indicating how much water to be supplied to fields considering multiple objectives in the farming process. Software packages do not fully account for the fact that the ideal irrigation schedule may not be met due to limitations in the water distribution network. This dissertation proposes the use of mathematical modelling to better understand water supply and demand management on a commercial sugarcane farm. Due to the complex nature of water stress on sugarcane, non-linearities occur in the model. A piecewise linear approximation is used to handle the non-linearity in the water allocation model and is solved in a commercial optimisation software package. A test data set is first used to exercise and evaluate the model performance, then to illustrate the practical applicability of the model, a commercial sized data set is used and analysed.en_ZA
dc.identifier.apacitationPatel, Z. (2017). <i>A decision support system for sugarcane irrigation supply and demand management</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Statistical Sciences. Retrieved from http://hdl.handle.net/11427/24455en_ZA
dc.identifier.chicagocitationPatel, Zubair. <i>"A decision support system for sugarcane irrigation supply and demand management."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Statistical Sciences, 2017. http://hdl.handle.net/11427/24455en_ZA
dc.identifier.citationPatel, Z. 2017. A decision support system for sugarcane irrigation supply and demand management. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Patel, Zubair AB - Commercial sugarcane farming requires large quantities of water to be delivered to the fields. Ideal irrigation schedules are produced indicating how much water to be supplied to fields considering multiple objectives in the farming process. Software packages do not fully account for the fact that the ideal irrigation schedule may not be met due to limitations in the water distribution network. This dissertation proposes the use of mathematical modelling to better understand water supply and demand management on a commercial sugarcane farm. Due to the complex nature of water stress on sugarcane, non-linearities occur in the model. A piecewise linear approximation is used to handle the non-linearity in the water allocation model and is solved in a commercial optimisation software package. A test data set is first used to exercise and evaluate the model performance, then to illustrate the practical applicability of the model, a commercial sized data set is used and analysed. DA - 2017 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2017 T1 - A decision support system for sugarcane irrigation supply and demand management TI - A decision support system for sugarcane irrigation supply and demand management UR - http://hdl.handle.net/11427/24455 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/24455
dc.identifier.vancouvercitationPatel Z. A decision support system for sugarcane irrigation supply and demand management. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Statistical Sciences, 2017 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/24455en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Statistical Sciencesen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherStatistical Sciencesen_ZA
dc.subject.otherAdvanced Analytics And Decision Sciencesen_ZA
dc.titleA decision support system for sugarcane irrigation supply and demand managementen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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