Wireless Sensor Networks in Agriculture: Insights from Bibliometric Analysis

This study investigates how wireless sensor network (WSN) applications in agriculture are discussed in the current academic literature. On the basis of bibliometric techniques, 2444 publications were extracted from the Scopus database and analyzed to identify the temporal distribution of WSN researc...

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Autores principales:	Alireza Abdollahi, Karim Rejeb, Abderahman Rejeb, Mohamed M. Mostafa, Suhaiza Zailani
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	wireless sensor networks agriculture precision agriculture Internet of Things bibliometrics Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/25b1eaf303a946c9988fd8edfee31636
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spelling	oai:doaj.org-article:25b1eaf303a946c9988fd8edfee316362021-11-11T19:40:33ZWireless Sensor Networks in Agriculture: Insights from Bibliometric Analysis10.3390/su1321120112071-1050https://doaj.org/article/25b1eaf303a946c9988fd8edfee316362021-10-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/12011https://doaj.org/toc/2071-1050This study investigates how wireless sensor network (WSN) applications in agriculture are discussed in the current academic literature. On the basis of bibliometric techniques, 2444 publications were extracted from the Scopus database and analyzed to identify the temporal distribution of WSN research, the most productive journals, the most cited authors, the most influential studies, and the most relevant keywords. The computer program VOSviewer was used to generate the keyword co-occurrence network and partition the pertinent literature. Findings show the remarkable growth of WSN research in recent years. The most relevant journals, cited countries, and influential studies were also identified. The main results from the keyword co-occurrence clustering and the detailed analysis illustrate that WSN is a key enabler for precision agriculture. WSN research also focuses on the role of other technologies such as the Internet of Things, cloud computing, artificial intelligence, and unmanned aerial vehicles in supporting several agriculture activities, including smart irrigation and soil management. This study illuminates researchers’ and practitioners’ views of what has been researched and identifies possible opportunities for future studies. To the authors’ best knowledge, this bibliometric study represents the first attempt to map global WSN research using a comprehensive sample of documents published over nearly three decades.Alireza AbdollahiKarim RejebAbderahman RejebMohamed M. MostafaSuhaiza ZailaniMDPI AGarticlewireless sensor networksagricultureprecision agricultureInternet of ThingsbibliometricsEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12011, p 12011 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	wireless sensor networks agriculture precision agriculture Internet of Things bibliometrics Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	wireless sensor networks agriculture precision agriculture Internet of Things bibliometrics Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Alireza Abdollahi Karim Rejeb Abderahman Rejeb Mohamed M. Mostafa Suhaiza Zailani Wireless Sensor Networks in Agriculture: Insights from Bibliometric Analysis
description	This study investigates how wireless sensor network (WSN) applications in agriculture are discussed in the current academic literature. On the basis of bibliometric techniques, 2444 publications were extracted from the Scopus database and analyzed to identify the temporal distribution of WSN research, the most productive journals, the most cited authors, the most influential studies, and the most relevant keywords. The computer program VOSviewer was used to generate the keyword co-occurrence network and partition the pertinent literature. Findings show the remarkable growth of WSN research in recent years. The most relevant journals, cited countries, and influential studies were also identified. The main results from the keyword co-occurrence clustering and the detailed analysis illustrate that WSN is a key enabler for precision agriculture. WSN research also focuses on the role of other technologies such as the Internet of Things, cloud computing, artificial intelligence, and unmanned aerial vehicles in supporting several agriculture activities, including smart irrigation and soil management. This study illuminates researchers’ and practitioners’ views of what has been researched and identifies possible opportunities for future studies. To the authors’ best knowledge, this bibliometric study represents the first attempt to map global WSN research using a comprehensive sample of documents published over nearly three decades.
format	article
author	Alireza Abdollahi Karim Rejeb Abderahman Rejeb Mohamed M. Mostafa Suhaiza Zailani
author_facet	Alireza Abdollahi Karim Rejeb Abderahman Rejeb Mohamed M. Mostafa Suhaiza Zailani
author_sort	Alireza Abdollahi
title	Wireless Sensor Networks in Agriculture: Insights from Bibliometric Analysis
title_short	Wireless Sensor Networks in Agriculture: Insights from Bibliometric Analysis
title_full	Wireless Sensor Networks in Agriculture: Insights from Bibliometric Analysis
title_fullStr	Wireless Sensor Networks in Agriculture: Insights from Bibliometric Analysis
title_full_unstemmed	Wireless Sensor Networks in Agriculture: Insights from Bibliometric Analysis
title_sort	wireless sensor networks in agriculture: insights from bibliometric analysis
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/25b1eaf303a946c9988fd8edfee31636
work_keys_str_mv	AT alirezaabdollahi wirelesssensornetworksinagricultureinsightsfrombibliometricanalysis AT karimrejeb wirelesssensornetworksinagricultureinsightsfrombibliometricanalysis AT abderahmanrejeb wirelesssensornetworksinagricultureinsightsfrombibliometricanalysis AT mohamedmmostafa wirelesssensornetworksinagricultureinsightsfrombibliometricanalysis AT suhaizazailani wirelesssensornetworksinagricultureinsightsfrombibliometricanalysis
_version_	1718431454436786176

Wireless Sensor Networks in Agriculture: Insights from Bibliometric Analysis

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