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.
|Title of host publication||Proceedings of the 15th International Conference on Computer Applications (ICCA 2017)|
|Place of Publication||Yangon, Myanmar|
|Number of pages||7|
|Publication status||Published - 2017|
|Event||15th International Conference on Computer Applications - Sedona Hotel, Yangon, Myanmar|
Duration: 16 Feb 2017 → 17 Feb 2017
Conference number: 15th
|Conference||15th International Conference on Computer Applications|
|Abbreviated title||ICCA 2017|
|Period||16/02/17 → 17/02/17|
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.