Evidence map›Paper›PMID 28245619›Full record

ArticleSensors (Basel, Switzerland)2017

VineSens: An Eco-Smart Decision-Support Viticulture System.

Josman P Pérez-Expósito, Tiago M Fernández-Caramés, Paula Fraga-Lamas, Luis Castedo

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Josman P Pérez-ExpósitoDepartment of Electronics and Systems, Faculty of Computer Science, Universidade da Coruña, 15071 A Coruña, Spain. josman.perez@udc.es.
Tiago M Fernández-CaramésDepartment of Electronics and Systems, Faculty of Computer Science, Universidade da Coruña, 15071 A Coruña, Spain. tiago.fernandez@udc.es.
Paula Fraga-LamasDepartment of Electronics and Systems, Faculty of Computer Science, Universidade da Coruña, 15071 A Coruña, Spain. paula.fraga@udc.es.
Luis CastedoDepartment of Electronics and Systems, Faculty of Computer Science, Universidade da Coruña, 15071 A Coruña, Spain. luis.castedo@udc.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article presents VineSens, a hardware and software platform for supporting the decision-making of the vine grower. VineSens is based on a wireless sensor network system composed by autonomous and self-powered nodes that are deployed throughout a vineyard. Such nodes include sensors that allow us to obtain detailed knowledge on different viticulture processes. Thanks to the use of epidemiological models, VineSens is able to propose a custom control plan to prevent diseases like one of the most feared by vine growers: downy mildew. VineSens generates alerts that warn farmers about the measures that have to be taken and stores the historical weather data collected from different spots of the vineyard. Such data can then be accessed through a user-friendly web-based interface that can be accessed through the Internet by using desktop or mobile devices. VineSens was deployed at the beginning in 2016 in a vineyard in the Ribeira Sacra area (Galicia, Spain) and, since then, its hardware and software have been tested to prevent the development of downy mildew, showing during its first season that the system can led to substantial savings, to decrease the amount of phytosanitary products applied, and, as a consequence, to obtain a more ecologically sustainable and healthy wine.

Indexed as

SoftwareAgricultureSpainVitisWineecologically sustainable vineyardsenvironmental impactgrapevineIoTplant diseases and pestsprecision agriculturesmart viticulturevineyardswireless sensor networks

Identifiers

PMID28245619
PMCPMC5375751

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.