Evidence map›Paper›PMID 37885760›Full record

ArticleMethodsX2023

AgDataBox-IoT - application development for agrometeorological stations in smart.

Antonio Marcos Massao Hachisuca, Eduardo Godoy de Souza, Wendel Kaian Mendonça Oliveira, Claudio Leones Bazzi, Diandra Ganascini Donato, Isaque de Souza Mendes, Mahuan Capeletto Abdala, Erivelto Mercante

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in MethodsX, 2023. 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
–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

1 citing paper in PubMed.

  1. Design and Construction of a Portable IoT Station.Sensors (Basel, Switzerland) · 2024
    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.

Antonio Marcos Massao HachisucaTechnological and Exact Sciences Center, Western Paraná State University, Cascavel, Paraná, Brazil.
Eduardo Godoy de SouzaTechnological and Exact Sciences Center, Western Paraná State University, Cascavel, Paraná, Brazil.
Wendel Kaian Mendonça OliveiraComputer Science Department, Federal University of Technology - Paraná, Medianeira, Paraná, Brazil.
Claudio Leones BazziComputer Science Department, Federal University of Technology - Paraná, Medianeira, Paraná, Brazil.
Diandra Ganascini DonatoTechnological and Exact Sciences Center, Western Paraná State University, Cascavel, Paraná, Brazil.
Isaque de Souza MendesTechnological and Exact Sciences Center, Western Paraná State University, Cascavel, Paraná, Brazil.
Mahuan Capeletto AbdalaTechnological and Exact Sciences Center, Western Paraná State University, Cascavel, Paraná, Brazil.
Erivelto MercanteTechnological and Exact Sciences Center, Western Paraná State University, Cascavel, Paraná, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, Brazil is one of the world's largest grain producers and exporters. Agriculture has already entered its 4.0 version (2017), also known as digital agriculture, when the industry has entered the 4.0 era (2011). This new paradigm uses Internet of Things (IoT) techniques, sensors installed in the field, network of interconnected sensors in the plot, drones for crop monitoring, multispectral cameras, storage and processing of data in Cloud Computing, and Big Data techniques to process the large volumes of generated data. One of the practical options for implementing precision agriculture is the segmentation of the plot into management zones, aiming at maximizing profits according to the productive potential of each zone, being economically viable even for small producers. Considering that climate factors directly influence yield, this study describes the development of a sensor network for climate monitoring of management zones (microclimates), allowing the identification of climate factors that influence yield at each of its stages.•Application of the internet of things to assist in decision making in the agricultural production system.•AgDataBox (ADB-IoT) web platform has an Application Programming Interface (API).•An agrometeorological station capable of monitoring all meteorological parameters was developed (Kate 3.0).

Indexed as

AgDataBoxAgDataBox-IoT-MeteologyBig dataInternet of thingsPrecision agricultureWireless communication networks

Identifiers

PMID37885760
PMCPMC10598058

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.