TY - GEN
T1 - Simulation framework for assessing VWC performance in low-cost smart agriculture sensors
AU - Papini, Nicola
AU - Scorzoni, Andrea
AU - Placidi, Pisana
AU - Cecconi, Manuela
AU - Petroselli, Chiara
AU - Delle Vergini, Carmine Villani
AU - Caputo, Domenico
AU - Lovecchio, Nicola
AU - Tarantino, Alessandro
PY - 2025/8/13
Y1 - 2025/8/13
N2 - 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%.
AB - 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%.
KW - Soil Water Content Sensor
KW - Finite Element Method (FEM)
KW - Low-cost Capacitive Sensor
KW - IoT Sensor
KW - Smart Agriculture
U2 - 10.1109/sas65169.2025.11105160
DO - 10.1109/sas65169.2025.11105160
M3 - Conference contribution book
SN - 979-8-3315-1194-4
T3 - 2025 IEEE Sensors Applications Symposium (SAS)
SP - 1
EP - 6
BT - 2025 IEEE Sensors Applications Symposium (SAS)
PB - IEEE
ER -