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Authors:
Miguel Zaragoza-Esquerdo
Francisco Javier Diaz
Lorena Parra
Sandra Sendra
Jaime Lloret
Keywords: Coil-based sensor; Precision Agriculture; Conductivity Sensor; Digital Agriculture.
Abstract:
Soil moisture monitoring is crucial for irrigated and rainfed crops. Multiple sensor solutions have been proposed in the last decades, and recently, coil-based sensors have been proposed. In this paper, we evaluate the hypothesis that the performance of a coil-based sensor with an alternative setting will not diminish its performance. This new setting supposes an easier deployment in which the core of the coil is not filled by soil but with air. The tests were conducted on a sensor composed of two copper coils with 40 and 80 spires. The sensor has been calibrated with two settings, with the core filled with air or with soil. For the calibration, four different soil moistures were included. Calibration models were obtained for each of the settings. The following metrics are considered for each regression model to evaluate the performance of the two sensors' settings: correlation coefficient, R2, and p-value. The results indicate small differences between both sensors; R2 were 0.95 and 0.93 for soil-core and air-core sensors. Additional tests and metrics have been considered to compare the performance. A T-student test of paired data indicates that there are no significant differences between data gathered with air-core and soil-core sensors. Finally, the coefficients of variation between multiple data gathered in the same conditions were 0.43 and 0.25 % for air-core and soil-core sensors. The obtained results indicate that even though the performance is slightly lower in air-core sensors, the simplicity of the deployment justifies this slight reduction since its impact on the measurements is almost null.
Pages: 43 to 48
Copyright: Copyright (c) IARIA, 2024
Publication date: November 17, 2024
Published in: conference
ISBN: 978-1-68558-323-1
Location: Valencia, Spain
Dates: from November 17, 2024 to November 21, 2024