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Automated Measurement and Control of Germination Paper Water Content

机译:萌发纸水分的自动测量和控制

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摘要

Germination paper (GP) is used as a growth substrate in plant development studies. Current studies bear two limitations: (1) The actual GP water content and variations in GP water content are neglected. (2) Existing irrigation methods either maintain the GP water content at fully sufficient or at a constant deficit. Variation of the intensity of water deficit over time for plants grown on GP is not directly achievable using these methods. In this contribution, a new measurement and control approach was presented. As a first step, a more precise measurement of water content was realized by employing the discharging process of capacitors to determine the electrical resistance of GP, which is related to the water content. A Kalman filter using an evapotranspiration model in combination with experimental data was used to refine the measurements, serving as the input for a model predictive controller (MPC). The MPC was used to improve the dynamics of the irrigation amount to more precisely achieve the required water content for regulated water uptake in plant studies. This is important in studies involving deficit irrigation. The novel method described was capable of increasing the accuracy of GP water content control. As a first step, the measurement system achieved an improved accuracy of 0.22 g/g. The application of a MPC for water content control based on the improved measurement results in an overall control accuracy was 0.09 g/g. This method offers a new approach, allowing the use of GP for studies with varying water content. This addressed the limitations of existing plant growth studies and allowed the prospection of dependencies between dynamic water deficit and plant development using GP as a growth substrate for research studies.
机译:发芽纸(GP)在植物发育研究中用作生长基质。当前的研究有两个局限性:(1)忽略了实际的GP含水量和GP含水量的变化。 (2)现有的灌溉方法要么将GP的水含量维持在足够的水平,要么将其保持在恒定的亏缺状态。使用这些方法无法直接获得在GP上生长的植物的水分亏缺强度随时间的变化。在此贡献中,提出了一种新的测量和控制方法。第一步,通过使用电容器的放电过程来确定与水含量有关的GP电阻,可以实现对水含量的更精确测量。结合蒸散模型和实验数据的卡尔曼滤波器用于改进测量结果,用作模型预测控制器(MPC)的输入。 MPC用于改善灌溉量的动态,以更精确地达到植物研究中调节吸水所需的水分含量。这在涉及缺水灌溉的研究中很重要。所描述的新方法能够提高GP水分控制的准确性。第一步,测量系统的精度提高到0.22 g / g。基于改进的测量结果,MPC在水含量控制中的应用使总体控制精度为0.09 g / g。这种方法提供了一种新方法,允许将GP用于含水量不同的研究中。这解决了现有植物生长研究的局限性,并允许使用GP作为研究研究的生长基质来预测动态缺水与植物发育之间的依赖关系。

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