Evaluation of Three Soil Moisture Profile Sensors Using Laboratory and Field Experiments

Soil moisture profile sensors (SMPSs) have a high potential for climate-smart agriculture due to their easy handling and ability to perform simultaneous measurements at different depths. To date, an accurate and easy-to-use method for the evaluation of long SMPSs is not available. In this study, we developed laboratory and field experiments to evaluate three different SMPSs (SoilVUE10, Drill&Drop, and SMT500) in terms of measurement accuracy, sensor-to-sensor variability, and temperature stability. The laboratory experiment features a temperature-controlled lysimeter to evaluate intra-sensor variability and temperature stability of SMPSs. The field experiment features a water level-controlled sandbox and reference TDR measurements to evaluate the soil water measurement accuracy of the SMPS. In both experiments, a well-characterized fine sand was used as measurement medium to ensure homogeneous dielectric properties in the measurement domain of the sensors. The laboratory experiments with the lysimeter showed that the Drill&Drop sensor has the highest temperature sensitivity with a decrease of 0.014 m3 m−3 per 10 °C, but at the same time showed the lowest intra- and inter-sensor variability. The field experiment with the sandbox showed that all three SMPSs have a similar performance (average RMSE ≈ 0.023 m3 m−3) with higher uncertainties at intermediate soil moisture contents. The presented combination of laboratory and field tests were found to be well suited to evaluate the performance of SMPSs and will be used to test additional SMPSs in the future.

[1]  T. Meyers,et al.  A field evaluation of the SoilVUE10 soil moisture sensor , 2023, Vadose Zone Journal.

[2]  J. Huisman,et al.  Recent Developments in Wireless Soil Moisture Sensing to Support Scientific Research and Agricultural Management , 2022, Sensors.

[3]  M. Vurro,et al.  Soil Moisture Sensor Information Enhanced by Statistical Methods in a Reclaimed Water Irrigation Framework , 2022, Sensors.

[4]  Ranae Dietzel,et al.  Estimate soil moisture of maize by combining support vector machine and chaotic whale optimization algorithm , 2022, Agricultural Water Management.

[5]  C. Kamienski,et al.  Soil moisture forecast for smart irrigation: The primetime for machine learning , 2022, Expert Syst. Appl..

[6]  G. Provenzano,et al.  Detecting crop water requirement indicators in irrigated agroecosystems from soil water content profiles: An application for a citrus orchard. , 2022, The Science of the total environment.

[7]  Pisana Placidi,et al.  Monitoring Soil and Ambient Parameters in the IoT Precision Agriculture Scenario: An Original Modeling Approach Dedicated to Low-Cost Soil Water Content Sensors , 2021, Sensors.

[8]  J. Steidl,et al.  Field calibrations of a Diviner 2000 capacitive soil water content probe on a shallow groundwater site and the application in a weighable groundwater lysimeter , 2021, Agricultural Water Management.

[9]  E. Dobos,et al.  Off-Site Calibration Approach of EnviroScan Capacitance Probe to Assist Operational Field Applications , 2021, Water.

[10]  R. Passalacqua,et al.  The laboratory calibration of a soil moisture capacitance probe in sandy soils , 2020 .

[11]  Laurens Klerkx,et al.  A review of social science on digital agriculture, smart farming and agriculture 4.0: New contributions and a future research agenda , 2019, NJAS - Wageningen Journal of Life Sciences.

[12]  Kohske Takahashi,et al.  Welcome to the Tidyverse , 2019, J. Open Source Softw..

[13]  A. Boretti,et al.  Reassessing the projections of the World Water Development Report , 2019, npj Clean Water.

[14]  Z. Bello,et al.  Evaluation of newly developed capacitance probes for continuous soil water measurement , 2019, Geoderma.

[15]  Johan Alexander Huisman,et al.  On the Accuracy of Factory-Calibrated Low-Cost Soil Water Content Sensors , 2019, Sensors.

[16]  Doko Bandur,et al.  An analysis of energy efficiency in Wireless Sensor Networks (WSNs) applied in smart agriculture , 2019, Comput. Electron. Agric..

[17]  W. Durner,et al.  Soil moisture and matric potential – an open field comparison of sensor systems , 2018, Earth System Science Data.

[18]  Johan Alexander Huisman,et al.  Effective Calibration of Low-Cost Soil Water Content Sensors , 2017, Sensors.

[19]  Filomena Pereira August 2016 , 2016, kma - Das Gesundheitswirtschaftsmagazin.

[20]  Reinhard Nolz,et al.  Soil water monitoring in a vineyard and assessment of unsaturated hydraulic parameters as thresholds for irrigation management , 2016 .

[21]  Reinhard Nolz,et al.  Performance of Hydra Probe and MPS-1 Soil Water Sensors in Topsoil Tested in Lab and Field , 2014 .

[22]  Johan Alexander Huisman,et al.  Calibration of a Novel Low‐Cost Soil Water Content Sensor Based on a Ring Oscillator , 2013 .

[23]  Steven R. Evett,et al.  Field Calibration Accuracy and Utility of Four Down‐Hole Water Content Sensors , 2008 .

[24]  Scott B. Jones,et al.  Standardizing Characterization of Electromagnetic Water Content Sensors: Part 2. Evaluation of Seven Sensing Systems , 2005 .

[25]  D. A. Robinson Measurement of the Solid Dielectric Permittivity of Clay Minerals and Granular Samples Using a Time Domain Reflectometry Immersion Method , 2004 .

[26]  S. Jones,et al.  A Review of Advances in Dielectric and Electrical Conductivity Measurement in Soils Using Time Domain Reflectometry , 2003 .

[27]  Shmulik P. Friedman,et al.  A method for measuring the solid particle permittivity or electrical conductivity of rocks, sediments, and granular materials , 2003 .

[28]  G. C. Topp,et al.  Impacts of the Real and Imaginary Components of Relative Permittivity on Time Domain Reflectometry Measurements in Soils , 2000 .

[29]  Willem Bouten,et al.  Frequency domain analysis of time domain reflectometry waveforms: 2. A four‐component complex dielectric mixing model for soils , 1994 .

[30]  R. Schulin,et al.  Calibration of time domain reflectometry for water content measurement using a composite dielectric approach , 1990 .

[31]  Willem Bouten,et al.  A Computer-Controlled 36-Channel Time Domain Reflectometry System for Monitoring Soil Water Contents , 1990 .

[32]  Van Genuchten,et al.  A closed-form equation for predicting the hydraulic conductivity of unsaturated soils , 1980 .

[33]  A. P. Annan,et al.  Electromagnetic determination of soil water content: Measurements in coaxial transmission lines , 1980 .

[34]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[35]  Michel Bechtold,et al.  Experimental and numerical studies on solute transport in unsaturated heterogeneous porous media under evaporation conditions , 2012 .

[36]  T. Green,et al.  Characterization of EnviroSMART capacitance sensors for measuring soil water content , 2006 .

[37]  I. Gagliardone Virtual enclaves or global networks? The role of Information and Communication Technologies in development cooperation , 2005, PsychNology J..

[38]  E. Runnerstrom,et al.  INSTRUCTION MANUAL , 1998 .

[39]  C. G. Gardner,et al.  High dielectric constant microwave probes for sensing soil moisture , 1974 .