Data-Driven Calibration of Soil Moisture Sensor Considering Impacts of Temperature : A Case Study on FDR Sensors

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

  • Liping Chen
  • Lili Zhangzhong
  • Wengang Zheng
  • Jingxin Yu
  • Zehan Wang
  • Chao Huang

Detail(s)

Original languageEnglish
Article number4381
Journal / PublicationSensors (Switzerland)
Volume19
Issue number20
Online published10 Oct 2019
Publication statusPublished - Oct 2019
Externally publishedYes

Link(s)

Abstract

Commercial soil moisture sensors have been widely applied into the measurement of soil moisture content. However, the accuracy of such sensors varies due to the employed techniques and working conditions. In this study, the temperature impact on the soil moisture sensor reading was firstly analyzed. Next, a pioneer study on the data-driven calibration of soil moisture sensor was investigated considering the impacts of temperature. Different data-driven models including the multivariate adaptive regression splines and the Gaussian process regression were applied into the development of the calibration method. To verify the efficacy of the proposed methods, tests on four commercial soil moisture sensors were conducted; these sensors belong to the frequency domain reflection (FDR) type. The numerical results demonstrate that the proposed methods can greatly improve the measurement accuracy for the investigated sensors.

Research Area(s)

  • Calibration, Data-driven, Impacts of temperature, Soil moisture sensor

Bibliographic Note

Publisher Copyright: © 2019 by the authors. Licensee MDPI, Basel, Switzerland.

Citation Format(s)

Data-Driven Calibration of Soil Moisture Sensor Considering Impacts of Temperature: A Case Study on FDR Sensors . / Chen, Liping; Zhangzhong, Lili; Zheng, Wengang et al.
In: Sensors (Switzerland), Vol. 19, No. 20, 4381, 10.2019.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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