Abstract
Water represents a crucial resource to support agricultural production and the world’s rising food needs. However, the intervention of various factors intricates the proper water allocation, adding uncertainty and increasing risk in the decision-making process. Multistage stochastic programming (MSP) is a widely used programming technique for supporting water allocation problems governed by uncertainty. Therefore, this study performs a literature review on agricultural water allocation based on MSP, identifying crop yield as the principal farmers’ benefits of proper water allocation, four main water allocation problem concerns, and four different uncertain sources. In addition, the study exhibits the advantages of multistage stochastic, interval, and fuzzy programming mixtures to provide better water allocation schemes.
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