Evidence map›Paper›PMID 40539872›Full record

ReviewAnalytical chemistry2025

Sustainable Wearable Sensors for Plant Monitoring and Precision Agriculture.

Samiris Côcco Teixeira, Nathalia O Gomes, Taíla Veloso de Oliveira, Nilda F F Soares, Paulo A Raymundo-Pereira

Abstract readReview
In one paragraph

Review in Analytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Environmental and Ecological Monitoring with Biodegradable Technologies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  5. 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

5 authors.

Samiris Côcco TeixeiraFood Technology Departament, Universidade Federal de Viçosa, Avenida PH Holfs s/n, Campus Universitário, 36570-000 Viçosa, Minas Gerais, Brazil.
Nathalia O GomesSao Carlos Institute of Chemistry, University of Sao Paulo, CEP 13566-590 Sao Carlos, SP, Brazil.
Taíla Veloso de OliveiraFood Technology Departament, Universidade Federal de Viçosa, Avenida PH Holfs s/n, Campus Universitário, 36570-000 Viçosa, Minas Gerais, Brazil.
Nilda F F SoaresFood Technology Departament, Universidade Federal de Viçosa, Avenida PH Holfs s/n, Campus Universitário, 36570-000 Viçosa, Minas Gerais, Brazil.
Paulo A Raymundo-PereiraSao Carlos Institute of Physics, University of Sao Paulo, CEP 13560-970 Sao Carlos, SP, Brazil.ORCID 0000-0003-0379-1592

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wearable sensors are emerging and innovative tools in the realm of agriculture, offering new opportunities for sustainable plant monitoring practices. This perspective explores wearable sensor technology in plant monitoring to promote environmental sustainability and enhance agricultural productivity. Wearable sensors, capable of continuously tracking plant health indicators such as salinity, diseases, metabolites, pH, ions, pathogens, pesticides, parasites, phytohormones, nutrient status, moisture levels, and pest activity, provide real-time information to make precise and timely decisions. Farmers can use the diverse collected data to enhance resource use, reducing waste and the environmental impact of agricultural practices. Here, we highlight the current advancements in wearable sensor technology and explore potential applications in diverse agricultural settings, with the challenges and opportunities to be addressed to fully implement by the farming community. We also emphasize the sustainable and biodegradable substrates/supports relying on eco-friendly polymeric materials for the fabrication of cost-effective, flexible, durable, stable, and easily deployable sensor systems, which can be extensively applied by the agrifood sector. We provide a forward-looking perspective on how wearable sensors can contribute to more sustainable and efficient plant monitoring practices in precision agriculture. Given the disruptive innovation, wearable plant sensors were highlighted as Top 10 Emerging Technologies by World Economic Forum in 2023.

Indexed as

AgricultureBiosensing TechniquesEnvironmental MonitoringPlantsWearable Electronic DevicesHumans

Identifiers

PMID40539872
PMCPMC12291035

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.