Evidence map›Paper›PMID 42076619›Full record

ReviewSensors (Basel, Switzerland)2026

Planar Microwave Sensing Technology for Soil Monitoring.

Salman Alduwish, Yongxiang Li, James Scott, Akram Hourani, Nasir Mahmood

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Salman AlduwishDepartment of Electrical and Electronic Engineering, School of Engineering, STEM College, RMIT University, Melbourne, VIC 3000, Australia.ORCID 0009-0002-0714-7622
Yongxiang LiDepartment of Electrical and Electronic Engineering, School of Engineering, STEM College, RMIT University, Melbourne, VIC 3000, Australia.ORCID 0000-0002-3614-0692
James ScottDepartment of Electrical and Electronic Engineering, School of Engineering, STEM College, RMIT University, Melbourne, VIC 3000, Australia.ORCID 0000-0003-3200-6821
Akram HouraniDepartment of Electrical and Electronic Engineering, School of Engineering, STEM College, RMIT University, Melbourne, VIC 3000, Australia.ORCID 0000-0003-0652-8626
Nasir MahmoodSchool of Science, STEM College, RMIT University, Melbourne, VIC 3000, Australia.ORCID 0000-0002-8340-1058

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Planar microwave (MW) sensors offer high-resolution, non-invasive technology for monitoring critical soil properties, serving as a support for modern precision agriculture. While laboratory studies confirm their exceptional sensitivity, the widespread adoption of these sensors is severely impeded by critical translational challenges that constitute a defining "lab-to-field gap". These barriers include high sensor-to-sensor variability, debilitating thermal cross-sensitivity, soil heterogeneity necessitating unique site-specific calibration, and the enduring tension between high-performance and cost-effective scaling. This review systematically synthesizes the current state of planar permittivity MW technology, moving beyond technical mechanisms to critically assess these operational limitations. We detail advanced architectural strategies designed to bridge this gap, focusing particularly on the transition toward more robust solutions. The key strategies analyzed include the adoption of differential sensor designs using microstrip patch antennas to mitigate common-mode environmental errors, the integration of ultra-compact metamaterial structures such as split-ring resonators (SRRs) and complementary split-ring resonators (CSRRs) for enhanced field robustness and deep soil sensing, and the necessity of multi-parameter sensing capabilities (moisture, pH, and salinity). By establishing a comprehensive roadmap that prioritizes field stability, cost efficiency, and seamless IoT integration, this review demonstrates that planar MW sensors are poised to become reliable and scalable tools. Addressing these critical translational hurdles will ensure optimal resource management, significantly enhance crop productivity, and enable sustainable practices within smart farming ecosystems.

Indexed as

complementary split-ring resonatorshigh resolutionmicrostrip patch antennasmulti-parameter sensingplanar MW sensorsprecision agriculturesensitivitysoil propertiessplit-ring resonators

Identifiers

PMID42076619
PMCPMC13119793

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.