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Infield optimized route planning in harvesting operations for risk of soil compaction reduction
Soil Use and Management ( IF 5.0 ) Pub Date : 2020-09-24 , DOI: 10.1111/sum.12654
Andrés Villa‐Henriksen 1, 2 , Nick Skou‐Nielsen 1 , Lars Juhl Munkholm 3 , Claus A.G. Sørensen 2 , Ole Green 1, 3 , Gareth T.C. Edwards 1
Affiliation  

Soil compaction is a major problem in arable farming mainly caused by the intensive traffic of heavy machinery. It affects negatively soil and crop development. Even though the first wheeling is considered the most damaging, repeated traffic deteriorates further the soil and subsoil even up to irreversible conditions. Intelligent infield traffic planning in the form of optimized route planning is one key option to mitigate soil compaction. Currently, no comprehensive evaluation of the benefits of such methods exists. In this paper, a harvest logistics optimization system was employed to evaluate the effectiveness of optimized route planning in reducing traffic by generating simulated operational data and comparing it to a set of six recorded fields ranging in size (2–21 ha) and shape. For the evaluation, simulated and recorded data for each 12 × 12 m grid cell within the fields were compared by analysing three variables, that is, traffic occurrences, accumulated traffic load and maximum traffic load per grid cell. The results showed a reduction of the total number of traffic occurrences with a field size weighted mean of relative differences of 9.8%. A reduction of 5.6% for the accumulated traffic load, and an increase of 4.0% for the maximum traffic load. Repeated traffic was reduced in four of the six fields. Even though optimized route planning is not directly intended for traffic reduction, it can notably contribute to such mitigation efforts and adds an extra element to the overall farm strategy for soil compaction mitigation.

中文翻译:

收获作业中的内场优化路线规划以减少土壤压实风险

土壤板结是耕地农业中的一个主要问题,主要是由重型机械的密集交通造成的。它对土壤和作物发育产生负面影响。尽管第一轮被认为是最具破坏性的,但反复的交通会进一步恶化土壤和底土,甚至达到不可逆转的情况。以优化路线规划为形式的智能内场交通规划是减轻土壤板结的关键选择之一。目前,还没有对此类方法的好处进行综合评估。在本文中,收获物流优化系统用于通过生成模拟运营数据并将其与一组大小(2-21 公顷)和形状不等的六个记录田地进行比较来评估优化路线规划在减少交通方面的有效性。对于评估,通过分析三个变量,即交通发生次数、累积交通负荷和每个网格单元的最大交通负荷,比较了田间每个 12 × 12 m 网格单元的模拟和记录数据。结果显示交通发生的总数减少了,相对差异的字段大小加权平均值为 9.8%。累计流量负载减少5.6%,最大流量负载增加4.0%。六个领域中的四个领域减少了重复交通。尽管优化的路线规划并非直接用于减少交通量,但它可以显着促进此类缓解工作,并为缓解土壤压实的整体农场战略增加额外元素。每个网格单元的累积流量负载和最大流量负载。结果显示交通发生的总数减少了,相对差异的字段大小加权平均值为 9.8%。累计流量负载减少5.6%,最大流量负载增加4.0%。六个领域中的四个领域减少了重复交通。尽管优化的路线规划并非直接用于减少交通量,但它可以显着促进此类缓解工作,并为缓解土壤压实的整体农场战略增加额外元素。每个网格单元的累积流量负载和最大流量负载。结果显示交通发生的总数减少了,相对差异的字段大小加权平均值为 9.8%。累计流量负载减少5.6%,最大流量负载增加4.0%。六个领域中的四个领域减少了重复交通。尽管优化的路线规划并非直接用于减少交通量,但它可以显着促进此类缓解工作,并为缓解土壤压实的整体农场战略增加额外元素。0% 表示最大流量负载。六个领域中的四个领域减少了重复交通。尽管优化的路线规划并非直接用于减少交通量,但它可以显着促进此类缓解工作,并为缓解土壤压实的整体农场战略增加额外元素。0% 表示最大流量负载。六个领域中的四个领域减少了重复交通。尽管优化的路线规划并非直接用于减少交通量,但它可以显着促进此类缓解工作,并为缓解土壤压实的整体农场战略增加额外元素。
更新日期:2020-09-24
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