Evidence map›Paper›PMID 36617147›Full record

ArticleSensors (Basel, Switzerland)2023

Plant-Wear: A Multi-Sensor Plant Wearable Platform for Growth and Microclimate Monitoring.

Joshua Di Tocco, Daniela Lo Presti, Carlo Massaroni, Stefano Cinti, Sara Cimini, Laura De Gara, Emiliano Schena

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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.

Joshua Di ToccoDepartmental Faculty of Engineering, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.ORCID 0000-0002-9841-7861
Daniela Lo PrestiDepartmental Faculty of Engineering, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.ORCID 0000-0002-1507-231X
Carlo MassaroniDepartmental Faculty of Engineering, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.ORCID 0000-0002-3090-5623
Stefano CintiDepartment of Pharmacy, Università degli Studi di Napoli Federico II, 80138 Naples, Italy.ORCID 0000-0002-8274-7452
Sara CiminiDepartment of Science and Technology for Humans and the Environment, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.ORCID 0000-0002-0139-0755
Laura De GaraDepartment of Science and Technology for Humans and the Environment, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.ORCID 0000-0001-5938-7113
Emiliano SchenaDepartmental Faculty of Engineering, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.ORCID 0000-0002-9696-1265

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wearable devices are widely spreading in various scenarios for monitoring different parameters related to human and recently plant health. In the context of precision agriculture, wearables have proven to be a valuable alternative to traditional measurement methods for quantitatively monitoring plant development. This study proposed a multi-sensor wearable platform for monitoring the growth of plant organs (i.e., stem and fruit) and microclimate (i.e., environmental temperature-T and relative humidity-RH). The platform consists of a custom flexible strain sensor for monitoring growth when mounted on a plant and a commercial sensing unit for monitoring T and RH values of the plant surrounding. A different shape was conferred to the strain sensor according to the plant organs to be engineered. A dumbbell shape was chosen for the stem while a ring shape for the fruit. A metrological characterization was carried out to investigate the strain sensitivity of the proposed flexible sensors and then preliminary tests were performed in both indoor and outdoor scenarios to assess the platform performance. The promising results suggest that the proposed system can be considered one of the first attempts to design wearable and portable systems tailored to the specific plant organ with the potential to be used for future applications in the coming era of digital farms and precision agriculture.

Indexed as

MicroclimateWearable Electronic DevicesHumansMonitoring, PhysiologicTemperaturemicroclimate evaluationplant wearableprecision agriculturesmart agriculturestrain sensorwearable device

Identifiers

PMID36617147
PMCPMC9824330

What OpenQuestion holds

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LicenceCC BY
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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.