Evidence map›Paper›PMID 36904927›Full record

ArticleSensors (Basel, Switzerland)2023

A Smart Agricultural System Based on PLC and a Cloud Computing Web Application Using LoRa and LoRaWan.

Mohamed Saban, Mostapha Bekkour, Ibtisam Amdaouch, Jaouad El Gueri, Badiaa Ait Ahmed, Mohamed Zied Chaari, Juan Ruiz-Alzola, Alfredo Rosado-Muñoz, Otman Aghzout

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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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

9 authors.

Mohamed SabanDepartment of Computer Science Engineering, SIGL-Lab, ENSA, University Abdelmalek Essaadi, Tetouan 93153, Morocco.ORCID 0000-0003-3412-8574
Mostapha BekkourDepartment of Computer Science Engineering, SIGL-Lab, ENSA, University Abdelmalek Essaadi, Tetouan 93153, Morocco.ORCID 0000-0003-0364-0938
Ibtisam AmdaouchDepartment of Computer Science Engineering, SIGL-Lab, ENSA, University Abdelmalek Essaadi, Tetouan 93153, Morocco.ORCID 0000-0002-6578-012X
Jaouad El GueriDepartment of Computer Science Engineering, SIGL-Lab, ENSA, University Abdelmalek Essaadi, Tetouan 93153, Morocco.ORCID 0000-0001-8180-3398
Badiaa Ait AhmedDepartment of Computer Science Engineering, SIGL-Lab, ENSA, University Abdelmalek Essaadi, Tetouan 93153, Morocco.ORCID 0000-0002-2858-8649
Mohamed Zied ChaariQatar Scientific Club, Fabrication Lab, Doha 9769, Qatar.ORCID 0000-0002-8770-9420
Juan Ruiz-AlzolaDepartment of Señales y Comunicaciones, University of Las Palmas de Gran Canaria, 35001 Las Palmas, Spain.ORCID 0000-0002-3545-2328
Alfredo Rosado-MuñozDepartment of Electronic Engineering, ETSE, University Valencia, Av. Universitat, 46100 Burjassot, Spain.ORCID 0000-0002-0429-0573
Otman AghzoutDepartment of Computer Science Engineering, SIGL-Lab, ENSA, University Abdelmalek Essaadi, Tetouan 93153, Morocco.ORCID 0000-0001-9097-8069

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing challenges of agricultural processes and the growing demand for food globally are driving the industrial agriculture sector to adopt the concept of 'smart farming'. Smart farming systems, with their real-time management and high level of automation, can greatly improve productivity, food safety, and efficiency in the agri-food supply chain. This paper presents a customized smart farming system that uses a low-cost, low-power, and wide-range wireless sensor network based on Internet of Things (IoT) and Long Range (LoRa) technologies. In this system, LoRa connectivity is integrated with existing Programmable Logic Controllers (PLCs), which are commonly used in industry and farming to control multiple processes, devices, and machinery through the Simatic IOT2040. The system also includes a newly developed web-based monitoring application hosted on a cloud server, which processes data collected from the farm environment and allows for remote visualization and control of all connected devices. A Telegram bot is included for automated communication with users through this mobile messaging app. The proposed network structure has been tested, and the path loss in the wireless LoRa is evaluated.

Indexed as

cloud serverIndustry 4.0IoTLoRaLoRaWanNodeRedsmart farmingwireless monitoring

Identifiers

PMID36904927
PMCPMC10007121

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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.