Evidence map›Paper›PMID 39852104›Full record

ReviewBiosensors2025

Wearable Sensors for Plants: Status and Prospects.

Xuexin Yan, Yawen Pang, Kaiwen Niu, Bowen Hu, Zhengbo Zhu, Zuojun Tan, Hongwei Lei

Abstract readReview
In one paragraph

Review in Biosensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
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

7 authors.

Xuexin YanCollege of Engineering, Huazhong Agricultural University, Wuhan 430070, China.
Yawen PangCollege of Physics and Optoelectronic Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
Kaiwen NiuCollege of Engineering, Huazhong Agricultural University, Wuhan 430070, China.
Bowen HuCollege of Engineering, Huazhong Agricultural University, Wuhan 430070, China.
Zhengbo ZhuCollege of Engineering, Huazhong Agricultural University, Wuhan 430070, China.ORCID 0000-0002-4271-6600
Zuojun TanCollege of Engineering, Huazhong Agricultural University, Wuhan 430070, China.ORCID 0000-0003-4380-1388
Hongwei LeiCollege of Engineering, Huazhong Agricultural University, Wuhan 430070, China.ORCID 0000-0001-7208-4061

Funding

Fundamental Research Funds for the Central Universities 2662023LXPY006, 2662024JC004, 2662024GXQD001Hubei Provincial Natural Science Foundation of China 2024AFB718National Natural Science Foundation of China 62205116the Natural Science Foundation of Wuhan 2024040801020301
6 · The paper itself

Abstract

The increasing demand for smart agriculture has led to the development of agricultural sensor technology. Wearable sensors show great potential for monitoring the physiological and surrounding environmental information for plants due to their high flexibility, biocompatibility, and scalability. However, wearable sensors for plants face several challenges that hinder their large-scale practical application. In this review, we summarize the current research status of wearable plant sensors by analyzing the classification, working principles, sensor materials, and structural design and discussing the multifunctional applications. More importantly, we comment on the challenges the wearable plant sensors face and provide our perspectives on further improving the sensitivity, reliability, and stability of wearable plant sensors for future smart agriculture.

Indexed as

AgricultureBiosensing TechniquesPlantsWearable Electronic DevicesHumansplantssmart agriculturewearable sensors

Identifiers

PMID39852104
PMCPMC11763792

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.