Automatic fault detection in a low cost frequency domain (capacitance based) soil moisture sensor

Frequency Domain Analysis can be used to determine the moisture content of soils. At least two techniques can be used, the first using the soil capacitance as part of a low pass filter, measuring the attenuation of a fixed frequency signal, the second using the soil capacitance as the controlling component in a variable frequency oscillator. Whilst the two techniques demonstrate differing sensitivities to different conditions, they demonstrate an acceptably stable reciprocal relationship to each other over a wide range of soil moisture conditions. With insulated probes, it is possible under field conditions for these probes to be damaged or for moisture to creep into the electronics housing. Either of these conditions make the soil capacitor appear to ‘leak’ by providing a lower electrically resistive path in parallel with the soil capacitance. This resistance affects the measurements of the two techniques described above in different ways and thus readings from the sensors diverge from their normal relationships. These variations are measureable and thus the fault condition can be automatically detected. This can be used to flag potential problems in the soil moisture measurements raising an alarm condition, or stopping unnecessary irrigation based on erroneous results from a damaged sensor. This paper presents results demonstrating these phenomena using a Frequency Domain capacitance based sensor costing less than 10 Euros.

[1]  Myounghak Oh,et al.  Factors affecting the complex permittivity spectrum of soil at a low frequency range of 1 kHz–10 MHz , 2006 .

[2]  Peter Dietrich,et al.  Field comparison of selected methods for vertical soil water content profiling , 2013 .

[3]  Randall J. Schaetzl,et al.  Temporal variation in the strength of podzolization as indicated by lysimeter data , 2016 .

[4]  Jörg W. E. Fassbinder,et al.  Determination of the influence of soil parameters and sample density on ground-penetrating radar: a case study of a Roman picket in Lower Bavaria , 2014, Archaeological and Anthropological Sciences.

[5]  Pascale Dubois-Fernandez,et al.  Sensitivity of Main Polarimetric Parameters of Multifrequency Polarimetric SAR Data to Soil Moisture and Surface Roughness Over Bare Agricultural Soils , 2013, IEEE Geoscience and Remote Sensing Letters.

[6]  W. Igboama,et al.  Fabrication of resistivity meter and its evaluation , 2011 .

[7]  Abdul Mounem Mouazen,et al.  Combining frequency domain reflectometry and visible and near infrared spectroscopy for assessment of soil bulk density , 2014 .

[8]  Pathmanathan Rajeev,et al.  Soil moisture monitoring at the field scale using neutron probe , 2014 .

[9]  J. D. Rhoades,et al.  A Compact, Low‐Cost Circuit for Reading Four‐Electrode Salinity Sensors , 1979 .

[10]  Prashant A. Shinde,et al.  Web based automatic irrigation system using wireless sensor network and embedded Linux board , 2015, 2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015].

[11]  Jiaojun Zhu,et al.  Application of Wenner Configuration to Estimate Soil Water Content in Pine Plantations on Sandy Land , 2007 .

[12]  H. Navarro-Hellín,et al.  A wireless sensors architecture for efficient irrigation water management , 2015 .

[13]  Juan Francisco Villa-Medina,et al.  Smartphone Irrigation Sensor , 2015, IEEE Sensors Journal.

[14]  Narendra Singh Raghuwanshi,et al.  Wireless sensor networks for agriculture: The state-of-the-art in practice and future challenges , 2015, Comput. Electron. Agric..

[15]  Francisco Lera,et al.  TDR-LAB 2.0 improved TDR software for soil water content and electrical conductivity measurements , 2013 .

[16]  J. Santamarina,et al.  Methods for Broad-Band Dielectric Permittivity Measurements (Soil-Water Mixtures, 5 Hz to 1.3 GHz) , 1997 .

[17]  Grzegorz Janik,et al.  TDR technique for estimating the intensity of effective non rainfall , 2014 .

[18]  Ramon Gonzalo,et al.  Monitoring Water Status of Grapevine by Means of THz Waves , 2016 .

[19]  Chandra A. Madramootoo,et al.  Thresholds for Irrigation Management of Processing Tomatoes Using Soil Moisture Sensors in Southwestern Ontario , 2013 .

[20]  Blaine R. Hanson,et al.  Soil type affects accuracy of dielectric moisture sensors , 2000 .

[21]  Amin Askarinejad,et al.  Evolution of soil wetting patterns preceding a hydrologically induced landslide inferred from electrical resistivity survey and point measurements of volumetric water content and pore water pressure , 2013 .

[22]  Junzeng Xu,et al.  Spatial and temporal distribution characteristics of reference evapotranspiration trends in Karst area: a case study in Guizhou Province, China , 2016, Meteorology and Atmospheric Physics.

[23]  Annelies Baert,et al.  A new wet reference target method for continuous infrared thermography of vegetations , 2016 .