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Updated: Sep 9, 2025

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In Situ Soil Moisture Sensors in Undisturbed Soils
Published on: November 18, 2022
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Recent Technological Upgrades to the SHYPROM IoT-Based System for Monitoring Soil Water Status.
Alessandro Comegna1, Shawkat Basel Mostafa Hassan1, Antonio Coppola2
1Department of Agricultural Forestry Food and Environmental Sciences (DAFE), University of Basilicata, 85100 Potenza, Italy.
Sensors (Basel, Switzerland)
|August 28, 2025
Summary
An upgraded IoT system, SHYPROM, accurately estimates soil moisture, matric potential, and hydraulic conductivity in real-time. This advancement supports precision agriculture and water resource management under scarcity.
Area of Science:
- Environmental Science
- Agricultural Engineering
- Hydrology
Background:
- Effective water resource management is vital for agricultural sustainability and environmental protection, especially facing water scarcity.
- Soil moisture (θ), matric potential (h), and hydraulic conductivity (K) are critical parameters for water availability and hydrological processes.
- Accurate, real-time soil monitoring is needed for laboratory and open-field applications.
Purpose of the Study:
- To present technological upgrades to the innovative IoT-based SHYPROM (Soil HYdraulic PROperties Meter) system.
- To enhance the accuracy and robustness of simultaneous estimation of θ, h, and K at different soil depths.
- To support precision irrigation, optimize water allocation, and aid hydrological/environmental monitoring.
Main Methods:
- Upgraded the capacitive module of SHYPROM with a 60 MHz oscillator circuit for improved soil moisture (θ) estimation.
- Calibrated and validated the system using laboratory experiments on diverse soil textures, comparing measurements to the thermo-gravimetric method.
- Conducted evaporation experiments to determine θ(h) and K(θ) relationships, fitting data with van Genuchten and van Genuchten-Mualem models.
Main Results:
- The upgraded SHYPROM demonstrated improved accuracy in capturing dynamic soil moisture changes (R² values: 0.91–0.96).
- Validation experiments confirmed the system's ability to accurately predict soil water content across a range of 0 to 0.40 cm³/cm³.
- The system accurately captured the temporal evolution of soil water status, with R² values ranging from 0.97 to 0.99 for retention and conductivity data.
Conclusions:
- The enhanced SHYPROM system provides accurate, real-time monitoring of critical soil hydraulic properties.
- The upgraded system is suitable for both laboratory and field applications in agriculture and environmental monitoring.
- SHYPROM facilitates improved water resource management and precision irrigation strategies.

