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International Journal of New Developments in Engineering and Society, 2026, 10(1); doi: 10.25236/IJNDES.2026.100105.

Research on Frequency Response Characteristics and Parameter Optimization of Soil Moisture Sensors

Author(s)

Zhan Qu1, Mingquan Wang1, Haifeng Pu1, Runzhen Zhang1, Le An1

Corresponding Author:
Runzhen Zhang
Affiliation(s)

1Gansu Open University, Lanzhou, 730000, China

Abstract

Accurate measurement of soil moisture content is a crucial prerequisite for achieving agricultural irrigation automation and promoting water-saving technologies. This paper designs a soil moisture detection device based on frequency response characteristics, utilizing the principle that changes in soil dielectric constant with varying moisture content induce changes in plate capacitance, which in turn affect the circuit frequency characteristics. To achieve optimal sensitivity, three types of series loads were investigated. Through scanning analysis in the 10~50 MHz frequency band, the optimal operating frequency was determined to be 34.8 MHz, and the optimal series load resistance was found to be 556 Ω. To address systematic deviations between theoretical and measured values, a proportional coefficient calibration method was proposed, resulting in an average calibration coefficient λ=1.326. Experiments showed that the calibrated theoretical capacitance values fitted well with the measured values, with a determination coefficient R²=0.865, meeting the accuracy requirements for soil moisture detection in agricultural irrigation.

Keywords

Soil Moisture; Sensor, Frequency Characteristics, Parameter Optimization, Calibration

Cite This Paper

Zhan Qu, Mingquan Wang, Haifeng Pu, Runzhen Zhang, Le An. Research on Frequency Response Characteristics and Parameter Optimization of Soil Moisture Sensors. International Journal of New Developments in Engineering and Society (2026), Vol. 10, Issue 1: 32-38. https://doi.org/10.25236/IJNDES.2026.100105.

References

[1] Todd M ,Gallant A ,Wang A , et al.Quantifying inter- and intra-sensor variability in low-cost soil moisture and soil temperature sensors: A comparative study[J].Smart Agricultural Technology, 2025, DOI:10.1016/J.ATECH.2025.101186.

[2] Babaeian E ,Tuller M ,Deep R N , et al.Field evaluation of the SoilVUE10 time domain reflectometry soil moisture profiling sensor under different installation methods[J].Vadose Zone Journal, 2025, 24(6). DOI:10.1002/VZJ2.70060.

[3] Pitoro J S V ,Amorim D A C ,Franco R J , et al.Application of low-cost soil moisture sensors for irrigation management in Brassica oleracea var. acephala cultivation[J].Smart Agricultural Technology, 2025, DOI:10.1016/J.ATECH.2025.101596.

[4] Hendrickx A G M ,Vanderborght J ,Janssens P , et al.Field‐Scale Soil Moisture Predictions in Real Time Using In Situ Sensor Measurements in an Inverse Modeling Framework: SWIM2[J].Water Resources Research,2026,62(2):DOI:10.1029/2025WR041324.

[5] Xu Y ,He Y ,Li X , et al.Novel Spiral and Embracing IDE Capacitive Sensors for In Situ Measurement of Soil Moisture[J].Sensors,2026,26(2):DOI:10.3390/S26020541.

[6] Tefera W G ,Ray L R ,Jackson R , et al.Integrating machine learning models with ground sensors to enhance soil moisture prediction in agroecosystems of Texas[J].Computers and Electronics in Agriculture, 2026,DOI:10.1016/J.COMPAG.2025.111358.

[7] Progga F J ,Zhang X ,Maiti S , et al.A chip-based radio frequency sensor for soil moisture measurements: A machine learning and deep learning calibration approach[J].Journal of Agriculture and Food Research,2026,DOI:10.1016/J.JAFR.2025.102591.

[8] Zhang H ,Zhang H ,Ma X , et al.A plastic optical fiber humidity sensor for high-precision soil moisture monitoring: Design, validation, and unified modeling across soil types[J].Engineering Geology, 2026, DOI:10.1016/J.ENGGEO.2025.108474.