The SMT-100 soil moisture probes uses a Time Domain Transmission (TDT) technology. The SMT-100 determines the volumetric water content and the soil temperature. It has a broad measurement range, it is maintenance free and frost resistant. With a robust design & manufacture and low power use, it is typically used for long-term observations (8+ years continuous use) and is well suited to IoT (Internet of Things) applications.
SMT-100 combines the advantages of the low-cost capacitance sensor system with the accuracy of a TDR (time domain reflectometry) system. Like a TDR, it measures the travel time of a signal to determine the relative permittivity εr of the soil, and like a capacitance sensor, it converts εr into an easy to measure frequency. The SMT-100 utilizes a ring oscillator to transform the signal’s travel time into a frequency. The resulting frequency (>100 MHz) is high enough to operate well even in clay soils. The SMT-100 measures the VSW% value (volumetric soil water) independent of soil type. Therefore a site-specific calibration is rarely needed. Exceptions are specific situations such as substrates used in greenhouses. This is not the case for capacitance sensors.
Higher frequencies mean better accuracy and less influence of disturbing factors like salinity (See picture above). The SMT-100 has a range between 150 MHz and 300 MHz, which is at least the double frequency compared with capacitance sensors but can still be offered at a competitive price and with other advantage (low power consumption, inexpensive, easy to install).
Then SMT-100 measurements are much less affected by soil temperature, EC and texture in comparison to capacitance/FDR sensors. Sensor-to-sensor variability is moderate and accurate VSW% measurements are also possible with the SMT100 WITHOUT sensor-specific calibration. Capacitance/FDR sensors are very affected by those soil parameters and need constant in-situ calibration as well they are usually more fragile. That is why we generally suggest our customer not to use capacitance sensors but prefer TDT, TDR or Standing Wave ones.
Compact, functional and robust: the PCB board based design allows for an economic design, and the blade shape facilitates installation. The case and cable are water sealed. The SMT-100 is connected to a logger or handheld for data management.
There are many scientific papers referencing the SMT100. Of particular interest is paper from a well-known group of the Research Center Jülich in Germany: http://ictinternational.com/content/uploads/2019/10/sensors-17-00208-v2.pdf
https://www.geosci-instrum-method-data-syst.net/9/11/2020/gi-9-11-2020-discussion.html (in total 400 sensors in this paper)
The SMT-100 is available in a preconfigured IoT (Internet of Things) setup for continuous real-time soil moisture measurement and monitoring.
|Signal output||– RS485 with UGT-protocol
– SDI-12 available on request
– analog (0-1V, other voltage ranges on request)
|Cable length||10 m|
|Power supply||RS485/SDI-12: 4 – 24 VDC
Analog: 12 – 24 VDC
|Dimensions||182 x 30 x 12 mm|
|Measurement range||0-60 % vol (0 … 100 % vol with limited accuracy)|
|Accuracy with generic calibration||±3 % vol in mineral soils with average salinity over 0 – 50 % vol|
|Accuracy after specific calibration||±1 % vol|
|Resolution||0.1 % vol|
|Range||-40 to +80 °C
(analog -40 to +60 °C)
extended temperature range on request
|Accuracy||±0.2 °C (analog ±0.8 °C)|
|Resolution||0.01 °C (analog 0.2 °C)|
Berthelin, R., Rinderer, M., Andreo, B., Baker, A., Kilian, D., Leonhardt, G., Lotz, A., Lichtenwoehrer, K., Mudarra, M., Padilla, I. Y., Pantoja Agreda, F., Rosolem, R., Vale, A., & Hartmann, A. (2020). A soil moisture monitoring network to characterize karstic recharge and evapotranspiration at five representative sites across the globe. Geoscientific Instrumentation, Methods and Data Systems, 9(1), 11–23. https://doi.org/https://doi.org/10.5194/gi-9-11-2020
Bogena, H. R., Huisman, J. A., Schilling, B., Weuthen, A., & Vereecken, H. (2017). Effective Calibration of Low-Cost Soil Water Content Sensors. Sensors, 17(1), 208. https://doi.org/10.3390/s17010208
Pellet, C., & Hauck, C. (2017). Monitoring soil moisture from middle to high elevation in Switzerland: Set-up and first results from the SOMOMOUNT network. Hydrology and Earth System Sciences, 21(6), 3199–3220. https://doi.org/10.5194/hess-21-3199-2017
Pellet, C., Hilbich, C., Marmy, A., & Hauck, C. (2016). Soil Moisture Data for the Validation of Permafrost Models Using Direct and Indirect Measurement Approaches at Three Alpine Sites. Frontiers in Earth Science, 3. https://doi.org/10.3389/feart.2015.00091
Schaffitel, A., Schuetz, T., & Weiler, M. (2019). A distributed soil moisture, temperature and infiltrometer dataset for permeable pavements and green spaces. Earth System Science Data Discussions, 1–27. https://doi.org/https://doi.org/10.5194/essd-2019-97
Schwank, M., & Naderpour, R. (2018). Snow Density and Ground Permittivity Retrieved from L-Band Radiometry: Melting Effects. Remote Sensing, 10(2), 354. https://doi.org/10.3390/rs10020354
Tarnik, A. (2019). Impact of Biochar Reapplication on Physical Soil Properties. IOP Conference Series: Materials Science and Engineering, 603, 022068. https://doi.org/10.1088/1757-899X/603/2/022068
Thom, J. K., Szota, C., Fletcher, T. D., Grey, V., Coutts, A. M., & Livesley, S. J. (2019, July 1). Transpiration and the water balance of tree-based stormwater control measures. Novatech 2019: Urban Water Planning and Technologies for Sustainable Management. Novatech 2019, Lyon, France. www.novatech.graie.org/documents/auteurs/1D24-096THO.pdf
Schaffitel, A., Schuetz, T., & Weiler, M. (2020). A distributed soil moisture, temperature and infiltrometer dataset for permeable pavements and green spaces. Earth System Science Data, 12(1), 501–517. https://doi.org/10.5194/essd-12-501-2020