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Precision Regulation Model of Water and Fertilizer for Alfalfa Based on Agriculture Cyber-Physical System

机译:基于农业网络体系的苜蓿水肥精度调节模型

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The regulation of water and fertilizer for alfalfa growth is not precise enough because the regulation strategy cannot track alfalfa growth dynamically. In this paper, we propose a precision regulation model of water and fertilizer for alfalfa based on agriculture cyber-physical system (ACPS) for irrigation and fertilizer management in alfalfa (PRMWFA-ACPS). The proposed PRMWFA-ACPS is a comprehensive model that includes the biophysical submodel, the computation submodel of water and fertilizer regulation, and the interaction of the submodels for both. The proposed model interacts with the alfalfa growth and its physical environment along with the irrigation strategy to improve the precise regulation of water and fertilizer. To verify the performance of the proposed model, we develop a simulation platform for PRMWFA-ACPS based on Ptolemy. Through physical experiments performed in the field at the Ningxia irrigation area of the Yellow River over three years (2016-2018), we verified and analyzed PRMWFA-ACPS by comparing the simulated and measured values, such as the growth period, leaf area index, soil water content and alfalfa yield. The experimental results show that the mean relative error of the growth period simulated by the model is between 1.9& x0025; and 6.8& x0025;, the mean relative error of the leaf area index simulated by the model is between 2.1& x0025; and 9.8& x0025;, the mean relative error of the soil water content simulated by the model is between 4.3& x0025; and 12.8& x0025;, and the mean relative error of the yield simulated by the model is between 1.2& x0025; and 14.3& x0025;. These findings indicate that PRMWFA-ACPS has promising applicability to the Ningxia irrigation area of the Yellow River and improves the accurate regulation of water and fertilizer application to alfalfa in a complex physical environment.
机译:对于苜蓿生长的水和肥料的调节并不足够精确,因为调节策略不能动态跟踪苜蓿生长。本文在苜蓿(PRMWFA-ACPS)(PRMWFA-ACPS)中为基于农业网络 - 物理系统(ACPS)的苜蓿水和肥的精确调节模型。所提出的PRMWFA-ACP是一种综合模型,包括生物物理子模型,水和肥料调节的计算子模型,以及子模型对两者的相互作用。该拟议模型与苜蓿生长及其物理环境相互作用,以及灌溉策略,以改善水和肥的精确调节。为了验证所提出的模型的性能,我们为基于Ptolemy的PRMWFA-ACPS开发了一个仿真平台。通过在三年(2016-2018)的黄河宁夏灌溉面积的宁夏灌溉区进行的物理实验,通过比较模拟和测量值,例如生长期,叶面积指数,验证和分析PRMWFA-ACP。土壤含水量和苜蓿产量。实验结果表明,模型模拟的生长周期的平均相对误差在1.9&x0025之间;和6.8&x0025;,模型模拟的叶面积指数的平均相对误差在2.1和x0025之间; 9.8&x0025;,模型模拟的土壤水分的平均相对误差在4.3&x0025之间;和12.8&x0025;,模型模拟产量的平均相对误差在1.2&x0025之间; 14.3&x0025;这些调查结果表明,PRMWFA-ACP对黄河的宁夏灌溉面积有望,提高了在复杂的物理环境中对苜蓿的水和肥料应用的准确调节。

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