Evidence map›Paper›PMID 42273614›Full record

ReviewGlobal challenges (Hoboken, NJ)2026

Embodied Intelligence for Soil Health toward Sustainable Smart Agriculture: Sensing the Soil with Flexible Geotextiles Sensors.

Ayse Feyza Yilmaz, Meltem Tekcin, Burak Kilic, Erdem Bahadir, Fatima Iqbal, Ahad Khabbaz Bavil, Batuhan Atasoy, Senem Kursun

Abstract readReview
In one paragraph

Review in Global challenges (Hoboken, NJ), 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

8 authors.

Ayse Feyza YilmazFaculty of Mechanical Engineering Mechanical Engineering Department Istanbul Technical University Istanbul Türkiye.
Meltem TekcinFaculty of Textile Technologies and Design Textile Engineering Department Istanbul Technical University Istanbul Türkiye.
Burak KilicFaculty of Mechanical Engineering Mechanical Engineering Department Istanbul Technical University Istanbul Türkiye.
Erdem BahadirFaculty of Mechanical Engineering System Dynamics and Control Department Istanbul Technical University Istanbul Türkiye.
Fatima IqbalFaculty of Computer and Informatics Engineering Computer Sciences Department Istanbul Technical University Istanbul Türkiye.
Ahad Khabbaz BavilFaculty of Mechanical Engineering Mechatronics Engineering Department Istanbul Technical University Istanbul Türkiye.
Batuhan AtasoyFaculty of Mechanical Engineering Mechatronics Engineering Department Istanbul Technical University Istanbul Türkiye.
Senem KursunFaculty of Mechanical Engineering Mechanical Engineering Department Istanbul Technical University Istanbul Türkiye.ORCID https://orcid.org/0000-0003-1537-2475

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of agriculture and Internet of Things (IoT) technology has transformed traditional farming into data-driven, automated, and highly interactive systems. Central to this evolution are sensor platforms that monitor soil conditions and environmental parameters such as moisture, temperature, pH, nutrients, and pollutants. Recent progress in flexible electronics and smart functional materials has created new opportunities for developing adaptable sensor systems suited to dynamic agricultural applications. Despite these advancements, the use of geotextiles as soil-sensing platforms remains largely unexplored. This review traces the shift from conventional rigid soil sensors to flexible and potentially geotextile-based systems, assessing their roles in IoT-enabled agricultural applications. While soil sensors are generally discussed under separate headings, the review integrates them under the common themes, including material selection, fabrication methods, testing methodologies, energy management strategies, and IoT connectivity. By identifying common materials, design principles, and manufacturing techniques across various soil sensors, the review proposes a synthesis framework that supports multi-sensor integration. Extending this integrative approach to geotextile-based structures envisions the realization of flexible, large-area, and adaptive soil sensing platforms that could enable next-generation of sustainable and smart precision agriculture.

Indexed as

artificial intelligence (AI)flexible soil sensorsgeotextilesIoTsmart and precision agriculturesoil healthsustainabilitytextile‐based sensors

Identifiers

PMID42273614
PMCPMC13246488

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.