In the process of agricultural land consolidation, the land parcels are optimally redesigned and rearranged in such a way that the dimensions of the resulting parcels are proportional to agricultural criteria such as irrigation discharge, soil texture, and cropping pattern. Besides these criteria, spatial factors like slope, road accessibility, volume of earthwork, and geometrical factors such as size and shape of parcels are also included in the design process of agricultural land partitioning. In this study, a land partitioning model was proposed using a multi‐objective artificial bee colony algorithm (MOABC‐LP) taking into consideration the mentioned factors. Initially, a feasible dimension range of parcels in a block was calculated based on irrigation efficiency. Two partitioning layouts were defined according to the topography and geometry of blocks. The proposed method was applied to a real study area and the results suggest that the land partitioning plan obtained by the MOABC‐LP model, in comparison with a designer's plan, not only makes the shape and size of parcels more compatible with the topographical and agricultural conditions of each block, but also reduces their cut‐and‐fill ratio.

中文翻译：

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基于灌溉效率的多目标人工蜂群算法的农用地分区模型

在农业土地整理过程中，对土地宗地进行了最佳的重新设计和重新安排，以使所得宗地的尺寸与农业标准（如灌溉流量，土壤质地和耕作模式）成比例。除了这些标准之外，空间因素（例如坡度，道路通达性，土方工程量）和几何因素（例如地块的大小和形状）也包括在农业用地分区的设计过程中。在这项研究中，考虑到上述因素，提出了使用多目标人工蜂群算法（MOABC-LP）的土地分割模型。最初，根据灌溉效率计算出一个块中地块的可行尺寸范围。根据块的地形和几何形状定义了两个分区布局。将该方法应用于实际研究区域，结果表明，与设计者的计划相比，MOABC‐LP模型获得的土地分割计划不仅使地块的形状和大小更符合地形和农业每个块的条件，但也降低了其填充率。