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Practical issues in developing a smart surface irrigation system with real-time simulation of furrow advance

机译:通过犁沟实时模拟开发智能地表灌溉系统的实际问题

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摘要

Automation of surface irrigation can be an economic and ecological way of increasing global food production. In this work a fully automated cablegation system is evaluated that adapts the application time and depth to the actual infiltration rate of the soil in real-time. The system calculates the infiltration equation from advance times in a control furrow and then simulates irrigation in every furrow of the field, establishing the optimum application time for each furrow. The methodology was evaluated in a field organized in contour terraces with furrows of various lengths in order to evaluate practical issues affecting the performance of the system. The results confirm the temporal variability in soil infiltration, and the need for real-time determination of the infiltration equation. The evolution of furrow geometry through the season did not have an important impact on the results of the simulations. The length of the furrow considered for calculating the Kostiakov equation influences the parameters of the equation. Automation with real-time feedback can result in important savings in water and labour and can produce irrigation events with more than 90% application efficiency. Nevertheless, the results also indicate that there are practical limits to what can possibly be achieved with automation and real-time feedback from the field
机译:地表灌溉自动化可以是增加全球粮食产量的经济和生态方式。在这项工作中,将评估一个全自动缆线连接系统,该系统可根据土壤的实际渗透率实时调整施肥时间和深度。该系统根据控制犁沟中的提前时间计算入渗方程,然后模拟田地每个犁沟中的灌溉情况,从而确定每个犁沟的最佳施用时间。该方法是在一个有各种长度沟槽的等高线梯田中组织的一个领域中进行评估的,目的是评估影响系统性能的实际问题。结果证实了土壤入渗的时间变化,并需要实时确定入渗方程。整个季节犁沟几何形状的演变对模拟结果没有重要影响。考虑用于计算Kostiakov方程的犁沟的长度会影响方程的参数。具有实时反馈的自动化可以节省大量的水和劳动力,并且可以产生超过90%的应用效率的灌溉事件。尽管如此,结果还表明,利用现场自动化和实时反馈可能实现的目标存在实际限制

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