Alduwish et al. (2026) High-Resolution CSRR-Based Microwave Sensor for Soil Moisture Content Monitoring

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Sensors
• Year: 2026
• Date: 2026-09-06
• Authors: Salman Alduwish, Yongxiang Li, JAMES R. SCOTT, Akram Hourani, Nasir Mahmood
• DOI: 10.3390/s26175665

Research Groups

• Department of Electrical Engineering, University of California, Los Angeles (UCLA)
• Institute of Geophysics and Planetary Physics, University of California, Los Angeles (UCLA)

Short Summary

This study presents a compact microwave sensor combined with machine-learning-based calibration to achieve superior texture-aware soil moisture quantification. The synergy between the novel sensor design and data-driven calibration enables high-resolution, robust, and field-deployable soil moisture sensing.

Objective

• Investigate the feasibility of using a compact square complementary split-ring resonator (CSRR) microwave sensor for accurate soil moisture measurement

Study Configuration

• Spatial Scale: Laboratory-scale experiments on sand and loam samples with varying moisture content ranges
• Temporal Scale: Static measurements, no temporal analysis performed

Methodology and Data

• Models used: Full-wave 3D electromagnetic simulations (e.g., COMSOL), machine-learning algorithms (multilayer perceptron)
• Data sources: Experimental data from the CSRR sensor, simulation results for optimization of sensor design

Main Results

• The CSRR sensor achieved Frequency Detection Resolution (FDR) values of 6.09 MHz (sand) and 6.86 MHz (loam), enabling discrimination of subtle permittivity changes.
• The multilayer perceptron combined with the optimized CSRR architecture delivered near-ideal accuracy for both soil types, with R2 ≈ 1, MAE < 0.001, RMSE < 0.001.

Contributions

• This study presents a novel combination of a compact microwave sensor and machine-learning-based calibration, enabling high-resolution, robust, and field-deployable soil moisture sensing.
• The results demonstrate the potential of this approach for next-generation agricultural and geotechnical monitoring systems.

Funding

• This research was funded by the National Science Foundation (NSF) under grant number 2021234.

Citation

@article{Alduwish2026HighResolution,
  author = {Alduwish, Salman and Li, Yongxiang and SCOTT, JAMES R. and Hourani, Akram and Mahmood, Nasir},
  title = {High-Resolution CSRR-Based Microwave Sensor for Soil Moisture Content Monitoring},
  journal = {Sensors},
  year = {2026},
  doi = {10.3390/s26175665},
  url = {https://doi.org/10.3390/s26175665}
}