Evidence map›Paper›PMID 31717296›Full record

ArticleSensors (Basel, Switzerland)2019

Development of a Sensor Node for Remote Monitoring of Plants.

Alexandro Catini, Leonardo Papale, Rosamaria Capuano, Valentina Pasqualetti, Davide Di Giuseppe, Stefano Brizzolara, Pietro Tonutti, Corrado Di Natale

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. 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. Cr-Doped Nanocrystalline TiOInternational journal of molecular sciences · 2025
    Article
  2. Article
  3. Article
  4. An Ultra-Low-Cost RCL-Meter.Sensors (Basel, Switzerland) · 2022
    Article
  5. 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

8 authors.

Alexandro CatiniDepartment of Electronic Engineering, Tor Vergata University of Rome, Via del Politecnico 1, 00133 Rome, Italy.ORCID 0000-0001-6050-2908
Leonardo PapaleDepartment of Electronic Engineering, Tor Vergata University of Rome, Via del Politecnico 1, 00133 Rome, Italy.
Rosamaria CapuanoDepartment of Electronic Engineering, Tor Vergata University of Rome, Via del Politecnico 1, 00133 Rome, Italy.ORCID 0000-0002-7811-0862
Valentina PasqualettiDepartment of Electronic Engineering, Tor Vergata University of Rome, Via del Politecnico 1, 00133 Rome, Italy.
Davide Di GiuseppeDepartment of Electronic Engineering, Tor Vergata University of Rome, Via del Politecnico 1, 00133 Rome, Italy.
Stefano BrizzolaraSant'Anna School of Advanced Studies, Piazza Martiri della Libertà 33, 56127 Pisa, Italy.
Pietro TonuttiSant'Anna School of Advanced Studies, Piazza Martiri della Libertà 33, 56127 Pisa, Italy.
Corrado Di NataleDepartment of Electronic Engineering, Tor Vergata University of Rome, Via del Politecnico 1, 00133 Rome, Italy.ORCID 0000-0002-0543-4348

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The appraisal of stress in plants is of great relevance in agriculture and any time the transport of living plants is involved. Wireless sensor networks (WSNs) are an optimal solution to simultaneously monitor a large number of plants in a mostly automatic way. A number of sensors are readily available to monitor indicators that are likely related to stress. The most common of them include the levels of total volatile compounds and CO

Indexed as

Wireless TechnologyLigustrumMachine LearningRemote Sensing TechnologyVolatile Organic CompoundsVolatile Organic Compoundsgas sensingplant healthrecursive neural networkVOCsWSN

Identifiers

PMID31717296
PMCPMC6891448

What OpenQuestion holds

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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.