Evidence map›Paper›PMID 37430722›Full record

ArticleSensors (Basel, Switzerland)2023

Realization of Forest Internet of Things Using Wireless Network Communication Technology of Low-Power Wide-Area Network.

Ming Zhao, Ren-Jie Ye, Shuo-Tsung Chen, Yen-Chun Chen, Zi-Yu Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Sensors for Digital Transformation in Smart Forestry.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

5 authors.

Ming ZhaoSchool of Computer Science, Yangtze University, Jingzhou 434023, China.ORCID 0000-0002-1647-1769
Ren-Jie YeGraduate School of Applied Chinese Studies, National Yunlin University of Science and Technology, Douliu 64002, Taiwan.
Shuo-Tsung ChenDepartment of Medical Informatics, Chung Shan Medical University, Taichung 40201, Taiwan.
Yen-Chun ChenDepartment of Medical Informatics, Chung Shan Medical University, Taichung 40201, Taiwan.
Zi-Yu ChenDepartment of Medical Informatics, Chung Shan Medical University, Taichung 40201, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work implements an intelligent forest monitoring system using the Internet of things (IoT) with the wireless network communication technology of a low-power wide-area network (LPWAN), a long range (LoRa), and a narrow-band Internet of things (NB-IoT). A solar micro-weather station with LoRa-based sensors and communications was built to monitor the forest status and information such as the light intensity, air pressure, ultraviolet intensity, CO

Indexed as

intelligent forest monitoringInternet of things (IoT)long range (LoRa)low-power wide-area network (LPWAN)narrow-band Internet of things (NB-IoT)

Identifiers

PMID37430722
PMCPMC10222265

What OpenQuestion holds

Textmetadata
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.