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首页> 外文期刊>Applied Engineering in Agriculture >CROPPING-PLAN OPTIMIZATION ON AGRICULTURAL HOLDINGS WITH A COMBINATION OF LINEAR AND WEIGHTED-GOAL PROGRAMMING
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CROPPING-PLAN OPTIMIZATION ON AGRICULTURAL HOLDINGS WITH A COMBINATION OF LINEAR AND WEIGHTED-GOAL PROGRAMMING

机译：采用线性和加权目标规划组合的农业持有的裁剪计划优化

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摘要

We present a crop plan that aims to maximize farmers' returns and minimize production costs for the analyzed agricultural holding. This study describes a model that combines linear programming (LP) and the weighted goal programming (WGP) method with penalty functions to simultaneously satisfy a variety of goals within the tolerance interval bounds in terms of their weights. The results indicate that, from an economic perspective, WGP sub-model including LP gives a better solution than using the LP sub-model separately. We designed the model to handle five different types of field and vegetable crops during crop planning and was tested for WGP optimization [WGPSC1, WGPSC2, WGPSC3, and WGPSC4 (SC4 for testing model parameterization)) on four different scenarios. For example, the farmers' returns in the WGP scenarios were higher or equal as in LP scenario (by approx.(sic)100 to (sic)110) while the costs were reduced (from(sic)2.58 in the case of mechanical labor costs and to (sic)1,376.66 for fertilizer costs). In addition, the combination of both serves as a more viable option for diversified and economically optimized crops to be included in crop plans. It is also important that the WGP calculated higher farmer returns, even though it was run on a cropping area that was 0.02 ha smaller than that in the LP. Further, the model was tested with a parameterization process to determine and explain the role of weights and penalty functions on the quality of the model results.
机译：我们提出了一个旨在最大限度地提高农民的收益，并尽量减少分析的农业控股的生产成本。该研究描述了一种模型，该模型将线性编程（LP）和加权目标编程（WGP）方法与惩罚功能组合，以同时满足其权重的公差间隔边界内的各种目标。结果表明，从经济角度来看，包括LP的WGP子模型比单独使用LP子模型提供更好的解决方案。我们设计了在作物规划期间处理五种不同类型的野外和蔬菜作物，并在四种不同场景上进行WGP优化[WGPSC1，WGPSC2，WGPSC3和WGPSC4（SC4进行测试模型参数化）的测试。例如，WGP场景中的农民返回更高或等于LP场景（约（SiC）100至（SIC）110），而成本降低（来自（SIC）2.58在机械劳动的情况下肥料成本的成本和（SIC）1,376.66）。此外，两者的组合都是多样化和经济优化的作物作为更加可行的选择，以包括在裁剪计划中。对于WGP计算出高度的农民返回也很重要，即使它在0.02公顷的裁剪区域上运行比LP小的裁剪区域。此外，使用参数化过程测试该模型，以确定和解释权重和惩罚功能对模型结果的质量的作用。

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