Evidence map›Paper›PMID 35875755›Full record

ArticleComputational intelligence and neuroscience2022

Design of IoT Gateway for Crop Growth Environmental Monitoring Based on Edge-Computing Technology.

Mo Dong, Haiye Yu, Zhipeng Sun, Mingzhi Wu, Lei Zhang, Yuanyuan Sui, Guanghao Yu, Ting Han, Ruohan Zhao

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Mo DongCollege of Biological and Agricultural Engineering, Jilin University, Changchun 130022, Jilin, China.ORCID https://orcid.org/0000-0002-6639-1687
Haiye YuCollege of Biological and Agricultural Engineering, Jilin University, Changchun 130022, Jilin, China.
Zhipeng SunNanchang Automotive Institution of Intelligence & New Energy, Nanchang 330052, Jiangxi, China.
Mingzhi WuNanchang Automotive Institution of Intelligence & New Energy, Nanchang 330052, Jiangxi, China.
Lei ZhangCollege of Biological and Agricultural Engineering, Jilin University, Changchun 130022, Jilin, China.
Yuanyuan SuiCollege of Biological and Agricultural Engineering, Jilin University, Changchun 130022, Jilin, China.
Guanghao YuMudanjiang Medical University, Mudanjiang 157000, Heilongjiang, China.
Ting HanMudanjiang Medical University, Mudanjiang 157000, Heilongjiang, China.
Ruohan ZhaoMudanjiang Medical University, Mudanjiang 157000, Heilongjiang, China.ORCID https://orcid.org/0000-0003-1275-6123
Jilin University · CNMudanjiang Medical University · CNNanchang Institute of Science & Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the extensive use of the Internet of Things (IoT) in agriculture, the number of terminals are also grow rapidly. This will increase the network traffic and computing pressure of the centralized server. The centralized data processing mode used in traditional agriculture cannot meet the needs of the Internet of everything era. This paper designs a gateway based on edge-computing technology for monitoring crop growth environment. It uses virtualized container technology to package long-range wide-area network (LoRaWAN) server, pest identification, and environmental information data fusion functions into images. It forms integrated operation mode of multiple function in agriculture. The gateway applies message-oriented middleware to standardize and customize the data transmission among functional modules, clouds, and edges. Through simulation and field test, the designed gateway can achieve the functions of each module at the same time, the resource utilization, and the transmission quality are stable. The edge-computing gateway has the advantages of low cost, low latency, and low power consumption which has practical significance.

Indexed as

InternetWireless TechnologyComputer SimulationEnvironmental MonitoringTechnology

Identifiers

PMID35875755
PMCPMC9303087
OpenAlexW4285596677

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.