2020
DOI: 10.1371/journal.pone.0233723
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Multistage stochastic programming modeling for farmland irrigation management under uncertainty

Abstract: Farmland management and irrigation scheduling are vital to a productive agricultural economy. A multistage stochastic programming model is proposed to maximize farmers' annual profit under uncertainty. The uncertainties considered include crop prices, irrigation water availability, and precipitation. During the first stage, pre-season decisions including seed type and plant density are made, while determinations of when to irrigate and how much water to be used for each irrigation are made in the later stages.… Show more

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Cited by 6 publications
(4 citation statements)
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“…The farmers must decide the water distribution strategy among different crops. If the farmers grow more than one crop, they might face a water allocation and scheduling problem, but they might face a water scheduling problem if they grow a single crop [17,18]. For simplicity, in Appendix A, Table A1 contains a summary of the retrieved works.…”
Section: Resultsmentioning
confidence: 99%
“…The farmers must decide the water distribution strategy among different crops. If the farmers grow more than one crop, they might face a water allocation and scheduling problem, but they might face a water scheduling problem if they grow a single crop [17,18]. For simplicity, in Appendix A, Table A1 contains a summary of the retrieved works.…”
Section: Resultsmentioning
confidence: 99%
“…Guan and Philpott (2011) applied the multi‐stage approach to a production planning problem for Fonterra, a leading company in the New Zealand dairy industry, taking into account uncertain milk supply, price–demand curves, and contracting. Other applications of MSSP include water management for farm irrigation (Zhang et al., 2017b, 2019; Li and Hu, 2020). More generally, some of applications of multi‐period planning are Kazemi Zanjani et al.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Guan and Philpott (2011) applied the multistage approach to a production planning problem for Fonterra, a leading company in the New Zealand dairy industry, taking into account uncertain milk supply, price-demand curves, and contracting. Other applications of MSSP include water management for farm irrigation (Zhang et al, 2017b(Zhang et al, , 2019Li and Hu, 2020). More generally, some of applications of multi-period planning are Kazemi Zanjani et al ( 2011) who look at a sawmill production planning problem with uncertainty in the quality of raw materials and demand; Lobos and Vera (2016) who determine the benefits using a stochastic modeling approach in a sawmill production environment; Veliz et al (2015) who present a harvesting and road construction decision problem in the forest industry in the presence of uncertainty, modeled as a multi-stage problem; Chen et al (2018) who is motivated by the problem of a seed producing company, and finally, Varas et al (2018) who look at the bottling planning problem of a wine export company facing demand uncertainty.…”
Section: Literature Reviewmentioning
confidence: 99%
“…This study contributes to the literature by evaluating how weather variations in a changing climate, unknown at the moment that decisions are taken, affect sustainable nutrient management practices. To this purpose, we draw on methods from stochastic optimization, which have recently been applied in the field of agricultural hydrology and irrigation management [21,22]. A small number of stochastic optimization models exist that deal with nutrient pollution, for instance for Lake Balaton in Central Europe and Erhai Lake in China, but these studies do not consider climate change [23,24].…”
Section: Introductionmentioning
confidence: 99%