Evidence map›Paper›PMID 41117491›Full record

ReviewACS sensors2025

Let's Get Real: Are Wearable Plant Sensors Ready for Crop Monitoring?

Donghee Hoh, Hyun Kwon Suh, Elias Kaiser

Abstract readReview
In one paragraph

Review in ACS sensors, 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

3 authors.

Donghee HohMSU-DOE Plant Research Laboratory, Michigan State University, East Lansing, Michigan 48824, United States.
Hyun Kwon SuhDepartment of Integrative Biological Sciences and Industry, Sejong University, Seoul 05006, Republic of Korea.ORCID 0000-0003-4771-9365
Elias KaiserResearch Institute of Agriculture and Life Sciences, Seoul National University, Seoul 08826, Republic of Korea.ORCID 0000-0002-9081-9604

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, the number of publications describing new and exciting developments in wearable plant sensors (WPSs) has skyrocketed. These small, lightweight sensors hold promise to assist precision agriculture and may thus help reduce crop losses, increase resource use efficiency, and automate crop production. However, WPSs are often not adequately tested in environments relevant for crop growth, and the majority of experimental WPS studies reveal a glaring lack of basic knowledge of plant biology. This review aims to bridge the communication gap between WPS developers and the wider plant research community by (1) providing essential physiological and environmental background information for engineers in relation to WPS sensing capabilities, (2) offering a step-by-step guide to conduct sensor tests on plants correctly, and (3) highlighting potential challenges and suggesting WPS applications in the open field, greenhouses, and vertical farming systems. We hope this review facilitates the development of WPSs and guides them to be truly "ready for the world".

Indexed as

Biosensing TechniquesCrops, AgriculturalWearable Electronic DevicesAgriculturecrop monitoringexperimental setupphysiologyplant–environment interactionsplant wearable sensorsprecision agriculturesensor validationstress detectionwearable plant sensors

Identifiers

PMID41117491
PMCPMC12671000

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.