Evidence map›Paper›PMID 41224829›Full record

ArticleScientific reports2025

Real-time aggregation forces monitoring in varied soil particle sizes using fiber bragg grating sensors.

Mukhtar Iderawumi Abdulraheem, Abiodun Yusuff Moshood, Wei Zhang, Linze Li, Yanyan Zhang, Gholaremza Abdi, Abdulaziz G Alghamdi, Vijaya Raghavan, Jiandong Hu

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

9 authors.

Mukhtar Iderawumi AbdulraheemHenan International Joint Laboratory of Laser Technology in Agriculture Sciences , College of Mechanical and Electrical Engineering Henan Agricultural University , 450002, Zhengzhou, China. abdulraheem@stu.henau.edu.cn.
Abiodun Yusuff MoshoodHenan International Joint Laboratory of Laser Technology in Agriculture Sciences , College of Mechanical and Electrical Engineering Henan Agricultural University , 450002, Zhengzhou, China.
Wei ZhangHenan International Joint Laboratory of Laser Technology in Agriculture Sciences , College of Mechanical and Electrical Engineering Henan Agricultural University , 450002, Zhengzhou, China.
Linze LiHenan International Joint Laboratory of Laser Technology in Agriculture Sciences , College of Mechanical and Electrical Engineering Henan Agricultural University , 450002, Zhengzhou, China.
Yanyan ZhangHenan International Joint Laboratory of Laser Technology in Agriculture Sciences , College of Mechanical and Electrical Engineering Henan Agricultural University , 450002, Zhengzhou, China.
Gholaremza AbdiDepartment of Biotechnology , Persian Gulf Research Institute Persian Gulf University , Bushehr, 75169, Iran. abdi@pgu.ac.ir.
Abdulaziz G AlghamdiDepartment of Soil Sciences College of Food and Agricultural Sciences , King Saud University , Riyadh, 11451, Saudi Arabia.
Vijaya RaghavanDepartment of Bioresource Engineering Faculty of Agriculture and Environmental Studies , McGill University , Bellevue, H9X 3V9, Sainte-Anne-de-Bellevue, QC, Canada.
Jiandong HuHenan International Joint Laboratory of Laser Technology in Agriculture Sciences , College of Mechanical and Electrical Engineering Henan Agricultural University , 450002, Zhengzhou, China. jdhu@henau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study investigates the effectiveness of Fiber Bragg Grating (FBG) sensors in measuring real-time aggregation forces across soils with varying particle sizes. Traditional measurement techniques are invasive, static, and lack real-time capability, making FBG sensors a promising technology for real-time monitoring. A laboratory experiments was conducted using FBG sensors embedded within soil samples of different particle sizes (0.125 mm, 0.425 mm, 0.85 mm, 1.18 mm, and 2 mm) with aggregation forces measured under controlled conditions simulating various water content levels. Data were collected continuously over a specified period to assess the dynamic response of the soils. The results showed a strong correlation between soil particle size and aggregation force, with larger particles exhibiting higher compaction-derived aggregation forces due to enhanced mechanical interlocking and reduced void space under load, while finer particles showing greater cohesion from higher surface area-to-volume ratios. This distinction arises because coarse particles (2.0 mm) transmit forces primarily through gravitational settling and frictional resistance, whereas fine particles (0.125 mm) rely on cohesive surface interactions. Wavelength shifts recorded by FBG sensors confirmed their reliability in detecting force changes, with finer soils yielding more pronounced sensor responses. These findings have significant implications for soil health assessment, agricultural management, and environmental engineering, particularly in optimizing tillage and soil stabilization strategies. The study demonstrates the potential of FBG sensors for real-time soil monitoring and recommends further exploration of sensor integration with field-scale applications and varying environmental conditions to enhance soil management practices.

Indexed as

Aggregation forcesFBG sensorPrecision agricultureReal-time monitoringSoil health monitoringSoil particles sizesSoil stability

Identifiers

PMID41224829
PMCPMC12612207

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.