Constrained optimisation of agricultural water management with parameter-sensitive objectives

Andrew Lewis, Marcus Randall, Sam Capon, Ethan Jackwitz

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abstract

Increasing human populations and the continual change of the Earth’s climate has meant that food security is becoming an increasingly important issue. One of the main factors contributing to food security is the availability of water for agricultural purposes. Recently, a few models have been proposed for water management problems in agricultural contexts which aim to maximise crop yield (i.e., farm and regional profitability) while minimising the effect that this has on the environment. It is the exploration of the latter that is of the most interest given the above, and hence the subject of this paper. As a refinement of a model that the authors have previously developed, and as a result of the empirical investigation of it, we investigate methods of more tightly controlling flow releases back to the environment. These include reformulating the objectives and the addition of constraints to the model. Using the well-known Non-dominated Sorting Genetic Algorithm-II (NSGA-II) across a range of dry, average and wet years in the Murrumbidgee Irrigation Area of Australia, we find solutions (i.e, crop selection and planting area allocations) that sensibly minimise large variations in the amount of water usage throughout the year (and hence flows back to the environment), without an overly detrimental effect on crop yield or profit.
Original languageEnglish
Title of host publicationProceedings of the 15th International Conference on Computer Applications (ICCA 2017)
Place of PublicationYangon, Myanmar
Pages79-85
Number of pages7
Publication statusPublished - 2017
Event15th International Conference on Computer Applications - Sedona Hotel, Yangon, Myanmar
Duration: 16 Feb 201717 Feb 2017
Conference number: 15th
http://www.ucsy.edu.mm/ucsy/ICCAConference13.do

Conference

Conference15th International Conference on Computer Applications
Abbreviated titleICCA 2017
CountryMyanmar
CityYangon
Period16/02/1717/02/17
Internet address

Fingerprint

water management
food security
crop yield
profitability
genetic algorithm
sorting
irrigation
farm
water
crop
climate
parameter
effect
planting
allocation
profit
method
human population

Cite this

Lewis, A., Randall, M., Capon, S., & Jackwitz, E. (2017). Constrained optimisation of agricultural water management with parameter-sensitive objectives. In Proceedings of the 15th International Conference on Computer Applications (ICCA 2017) (pp. 79-85). Yangon, Myanmar.
Lewis, Andrew ; Randall, Marcus ; Capon, Sam ; Jackwitz, Ethan. / Constrained optimisation of agricultural water management with parameter-sensitive objectives. Proceedings of the 15th International Conference on Computer Applications (ICCA 2017). Yangon, Myanmar, 2017. pp. 79-85
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Lewis, A, Randall, M, Capon, S & Jackwitz, E 2017, Constrained optimisation of agricultural water management with parameter-sensitive objectives. in Proceedings of the 15th International Conference on Computer Applications (ICCA 2017). Yangon, Myanmar, pp. 79-85, 15th International Conference on Computer Applications , Yangon, Myanmar, 16/02/17.

Constrained optimisation of agricultural water management with parameter-sensitive objectives. / Lewis, Andrew; Randall, Marcus; Capon, Sam; Jackwitz, Ethan.

Proceedings of the 15th International Conference on Computer Applications (ICCA 2017). Yangon, Myanmar, 2017. p. 79-85.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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Lewis A, Randall M, Capon S, Jackwitz E. Constrained optimisation of agricultural water management with parameter-sensitive objectives. In Proceedings of the 15th International Conference on Computer Applications (ICCA 2017). Yangon, Myanmar. 2017. p. 79-85