A Review of Applications of Linear Programming to Optimize Agricultural Solutions

A. Alotaibi, F. Nadeem
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引用次数: 9

Abstract

: Quantitative methods help farmers plan and make decisions. An apt example of these methods is the linear programming (LP) model. These methods acknowledge the importance of economizing on available resources among them being water supply, labor, and fertilizers. It is through this economizing that farmers maximize their profit. The significance of linear programming is to provide a solution to the existing real-world problems through the evaluation of existing resources and the provision of relevant solutions. This research studies various LP applications including feed mix, crop pattern and rotation plan, irrigation water, and product transformation; that have the main role to enhance various facets of the agriculture sector. The paper will be a review that will probe into the applications of the LP model and it will also highlight the various tools that are central to analyzing LP model results. The review will culminate in a discussion on the different approaches that help optimize agricultural solutions.
线性规划在农业解优化中的应用综述
定量方法帮助农民计划和做决定。这些方法的一个恰当的例子是线性规划(LP)模型。这些方法承认节约可用资源的重要性,其中包括水供应、劳动力和肥料。正是通过这种节约,农民的利润最大化。线性规划的意义在于通过对现有资源的评价和提供相关的解决方案,为现实世界中存在的问题提供解决方案。本研究研究了各种LP的应用,包括饲料混合、作物模式和轮作计划、灌溉用水和产品转化;它们在加强农业部门的各个方面发挥着主要作用。本文将是一篇综述,将探讨LP模型的应用,并将重点介绍分析LP模型结果的各种工具。审查的最后将讨论有助于优化农业解决方案的不同方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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