Evidence map›Paper›PMID 35807587›Full record

ArticlePlants (Basel, Switzerland)2022

Optimal Deployment of WSN Nodes for Crop Monitoring Based on Geostatistical Interpolations.

Edgar Andres Gutierrez, Ivan Fernando Mondragon, Julian D Colorado, Diego Mendez Ch

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 24% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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 at 1 institution in 1 country.

Edgar Andres GutierrezSchool of Engineering, Pontificia Universidad Javeriana, Bogota 110231, Colombia.ORCID 0000-0001-6729-7353
Ivan Fernando MondragonSchool of Engineering, Pontificia Universidad Javeriana, Bogota 110231, Colombia.ORCID 0000-0002-7828-6681
Julian D ColoradoSchool of Engineering, Pontificia Universidad Javeriana, Bogota 110231, Colombia.ORCID 0000-0002-6925-0126
Diego Mendez ChSchool of Engineering, Pontificia Universidad Javeriana, Bogota 110231, Colombia.ORCID 0000-0002-9866-4416
Pontificia Universidad Javeriana · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper proposes an integrated method for the estimation of soil moisture in potato crops that uses a low-cost wireless sensor network (WSN). Soil moisture estimation maps were created by applying the Kriging technique over a WSN composed of 11×11 nodes. Our goal is to estimate the soil moisture of the crop with a small-scale WSN. Using a perfect mesh approach on a potato crop, experimental results demonstrated that 25 WSN nodes were optimal and sufficient for soil moisture characterization, achieving estimations errors <2%. We provide a strategy to select the number of nodes to use in a WSN, to characterize the moisture behavior for spatio-temporal analysis of soil moisture in the crop. Finally, the implementation cost of this strategy is shown, considering the number of nodes and the corresponding margin of error.

Indexed as

Kriging interpolationpotato cropsremote sensingsoil moistureWSN

Identifiers

PMID35807587
PMCPMC9268858
OpenAlexW4283263945

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.