Evidence map›Paper›PMID 41420779›Full record

ReviewMikrochimica acta2025

Wearable sensors: in situ detection tools for plant physiological markers and growth environment information.

Yuhang Wang, Siping Yu, Guanglei Chu, Jinqi Huang, Ming Li

Abstract readReview
PubMed Publisher
In one paragraph

Review in Mikrochimica acta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Yuhang WangLongping Agricultural College, Hunan University, No. 892 Yuanda Second Road, Changsha, Hunan Province, 410125, China.
Siping YuLongping Agricultural College, Hunan University, No. 892 Yuanda Second Road, Changsha, Hunan Province, 410125, China.
Guanglei ChuGlobal Institute of Future Technology, Shanghai Jiao Tong University, No.800 Dongchuan Road, Shanghai, 200240, China. guangleichu@sjtu.edu.cn.
Jinqi HuangHunan Agricultural Equipment Research Institute, Hunan Academy of Agricultural Sciences, No.892 Yuanda Second Road, Changsha, Hunan Province, 410125, China.
Ming LiLongping Agricultural College, Hunan University, No. 892 Yuanda Second Road, Changsha, Hunan Province, 410125, China. liming@hunaas.cn.

Funding

The Natural Science Foundation of China 32272000
6 · The paper itself

Abstract

Plant health is a fundamental aspect of agricultural production, intimately linked to crop yield and quality. The precise acquisition of plant physiological information is vital for modern farmland management. This information encompasses plant biomarker information and details about the plant's growth environment. Traditional detection methods are limited by lengthy intervals between measurements and time-consuming detection processes. Wearable sensors, attached to the surface of plants, transform plant physiological environment information into photoelectric signals. This enables continuous, real-time in-situ monitoring of plant physiological information, opening up new avenues for plant health management and variety improvement. This article reviews the latest advancements in wearable sensors for plant health, classifies the sensors based on the types of plant physiological information they measure, and provides a detailed overview of their applications, including plant biomarker sensors and plant growth environment sensors. Furthermore, the challenges and future directions in this field are discussed, highlighting the potential of wearable sensors in precision agriculture and proposing a multidisciplinary approach to harness the full potential of wearable sensors in ensuring food security.

Indexed as

Biosensing TechniquesPlant Physiological PhenomenaPlantsWearable Electronic DevicesBiomarkersCrops, AgriculturalHumansPlant DevelopmentBiomarkersIn situ detectionPlant biomarkersPlant growth environment informationPlant wearable sensorsPrecision agriculture

Identifiers

PMID41420779

What Socratic holds

Textmetadata
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 Socratic graph.