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Simulation and mathematical programming decision-making support for smallholder farming

机译:小农户的仿真和数学规划决策支持

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Many mathematical programs have been developed over the past 50 years to aid agricultural experts and other farming decision-makers. The application of these mathematical programs has seen limited success because their development has focused on mathematical theory as opposed to the requirements needed for application. This paper describes the development of two mathematical programs that were designed to integrate with a visualization simulation that aids a nontraditional group of agricultural decision-makers: illiterate Sri Lankan subsistence farmers. The simulation was designed to help these illiterate farmers make business decisions about their crop selection choices which, in turn, will help them develop their business plans required for obtaining bank micro-loans. This paper's focus is on the use of linear programming as a potential tool to demonstrate the benefits of crop diversification and rotation to the farmer based on various available crop types. It also highlights the issues using such an approach.
机译:在过去的50年中,已经开发了许多数学程序来帮助农业专家和其他农业决策者。这些数学程序的应用取得了有限的成功,因为它们的开发集中在数学理论上,而不是应用所需的要求。本文介绍了两个数学程序的开发,这些程序旨在与可视化模拟集成,以帮助非传统农业决策者群体:文盲的斯里兰卡自给自足农民。该模拟旨在帮助这些不识字的农民就他们的作物选择做出商业决策,从而帮助他们制定获得银行小额贷款所需的商业计划。本文的重点是使用线性规划作为一种潜在工具,以根据各种可用作物类型向农民展示作物多样化和轮作的好处。它还强调了使用这种方法的问题。

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