Comments

This is the author-accepted manuscript of Abdul Salam, Mehmet C. Vuran, Suat Irmak, Real-Time Permittivity Estimation and Soil Moisture Sensing using Wireless Underground Communications, Computer Networks, 2019. Copyright Elsevier, it is made available here CC-BY-NC-ND, and the version of record can be found at https://doi.org/10.1016/j.comnet.2019.01.001.

Abstract

Internet of Underground Things (IOUT) communications have the potential for soil properties estimation and soil moisture monitoring. In this paper, a method has been developed for real-time in situ estimation of relative permittivity of soil, and soil moisture, that is determined from the propagation path loss, and velocity of wave propagation of an underground (UG) transmitter and receiver link in wireless underground communications (WUC). The permittivity and soil moisture estimation processes (Di-Sense, where Di- prefix means two) are modeled and validated through an outdoor UG software-defined radio (SDR) testbed, and indoor greenhouse testbed. SDR experiments are conducted in the frequency range of 100MHz to 500MHz, using antennas buried at 10cm, 20cm, 30cm, and 40cm depths in different soils under different soil moisture levels, by using dipole antennas with over the air (OTA) resonant frequency of 433MHz. Experiments are conducted in silt loam, silty clay loam, and sandy soils. By using Di-Sense approach, soil moisture and permittivity can be measured with high accuracy in 1m to 15m distance range in plant root zone up to depth of 40cm. The estimated soil parameters have less than 8% estimation error from the ground truth measurements and semi-empirical dielectric mixing models.

Keywords

Internet of Things, Wireless Underground Communications, Sensing, Precision Agriculture, Soil Moisture

Date of this Version

1-2019

Available for download on Sunday, January 03, 2021

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