Evidence map›Paper›PMID 33294520›Full record

ArticleData in brief2020

Data on records of environmental phenomena using low-cost sensors in vineyard smallholdings.

Sergio Trilles, Alberto González-Pérez, Benito Zaragozí, Joaquín Huerta

Abstract read
In one paragraph

Article in Data in brief, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Data on COData in brief · 2021
    Article
  3. 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

4 authors.

Sergio TrillesInstitute of New Imaging Technologies, Universitat Jaume I, Av. Vicente Sos Baynat s/n, Castelló de la Plana, Spain.
Alberto González-PérezInstitute of New Imaging Technologies, Universitat Jaume I, Av. Vicente Sos Baynat s/n, Castelló de la Plana, Spain.
Benito ZaragozíDepartament de Geografia, Universitat Rovira i Virgili, C/Joanot Martorell, Vilaseca, Spain.
Joaquín HuertaInstitute of New Imaging Technologies, Universitat Jaume I, Av. Vicente Sos Baynat s/n, Castelló de la Plana, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inadequate weather conditions are one of the main threats to the correct development of sensitive crops, where a bad situation can lead to greater stress on plants and their weakness against various diseases. This statement is especially decisive in the cultivation of the vineyard. Meteorological monitoring of vineyard parcels is vital to detect and prevent possible fungal diseases. The development of new Information and Communication Technologies, linked to the Smart Farming movement, together with the reduced cost of electronic components, have favoured a greater availability of meteorological monitoring stations to get to know first-class hand the state of the vineyard smallholdings. This work provides a set of over 750,000 environmental raw data records collected by low-cost Internet of Things nodes, primarily located within vineyard smallholdings. The published observations were collected between 2018-04-01 and 2018-10-31 and were validated in previous research to determine the data's reliability.

Indexed as

Internet of ThingsLow-cost sensorsOpen hardwareSmart farmingVineyard smallholdings

Identifiers

PMID33294520
PMCPMC7695939

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.