文章基本信息

标题：Impact of sensor placement in soil water estimation*
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作者：Erfan Orouskhani ; Soumya R. Sahoo ; Bernard T. Agyeman 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2022
卷号：55
期号：7
页码：340-345
DOI：10.1016/j.ifacol.2022.07.467
语种：English
出版社：Elsevier
摘要：AbstractSoil moisture estimation is an essential element in the implementation of a closed-loop irrigation system. The determination of the best locations to install the sensors such that good state estimation can be obtained is an important problem. In our previous work, this issue has been addressed by employing the modal degree of observability based on extensive simulations. It was found that optimally placed sensors can lead to much-improved soil moisture estimation performance. However, it is unclear whether the significantly improved estimation performance can still be observed in actual applications. In this work, we consider an actual agricultural field in Lethbridge, Alberta, Canada, and study the impact of sensor placement in soil water estimation. Soil moisture measurements from 42 soil moisture sensors installed at different depths were collected for one growing season. First, a three-dimensional agro-hydrological model with heterogeneous soils is developed. Then, a state estimator designed based on the extended Kalman filter (EKF) is adopted to estimate the soil water content. Subsequently, we apply the modal degree of observability to the three-dimensional system and determine where the best sensor locations are. Different scenarios are considered to estimate the soil water content and the estimation results are analyzed for all the scenarios.
关键词：KeywordsSensor placementdegree of observabilitystate estimationextended Kalman filterRichards equation