Simulation framework for assessing VWC performance in low-cost smart agriculture sensors

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Papini, Nicola and Scorzoni, Andrea and Placidi, Pisana and Cecconi, Manuela and Petroselli, Chiara and Delle Vergini, Carmine Villani and Caputo, Domenico and Lovecchio, Nicola and Tarantino, Alessandro; (2025) Simulation framework for assessing VWC performance in low-cost smart agriculture sensors. In: 2025 IEEE Sensors Applications Symposium (SAS). 2025 IEEE Sensors Applications Symposium (SAS) . IEEE, pp. 1-6. ISBN 979-8-3315-1193-7 (https://doi.org/10.1109/sas65169.2025.11105160)

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Abstract

The use of Internet of Things (IoT) devices in agriculture is increasing over time due to the benefits of productivity and resources. Several technologies and sensors may be found on the market to investigate parameters of interest such as the soil salinity and water content. PCB sensors are widely used due to their limited cost, making them suitable for large-scale applications. However, their performances are strictly related to several factors, for example, their installation inside the soil. Due to the sensor placing procedure, air gaps are usually present at the soil/sensor interface reducing significantly their performance. The case may be even worse in wet soils at high water content, in which the air gaps may be filled by free water. In this paper, the effect of air gaps is investigated through Finite Element Method (FEM) with a common commercial sensor: the SKU:SEN0193. Two types of "gap" profiles have been implemented in FEM simulations: a parallelepiped gap along the whole sensor and an exponential-profiled gap. Results are obtained at four frequencies of interest in the range 10 kHz - 100 kHz showing a significant impact in all the considered cases. In the best-considered case, the relative errors range from 0.7% to 26%.

ORCID iDs

Papini, Nicola, Scorzoni, Andrea, Placidi, Pisana, Cecconi, Manuela, Petroselli, Chiara, Delle Vergini, Carmine Villani, Caputo, Domenico, Lovecchio, Nicola and Tarantino, Alessandro ORCID logoORCID: https://orcid.org/0000-0001-6690-748X;
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