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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my.um.eprints.353142022-10-14T06:11:10Z http://eprints.um.edu.my/35314/ Wireless sensor networks in agriculture: Insights from bibliometric analysis Abdollahi, Alireza Rejeb, Karim Rejeb, Abderahman Mostafa, Mohamed M. Zailani, Suhaiza Hanim Mohamad GE Environmental Sciences QA75 Electronic computers. Computer science 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. MDPI 2021-11 Article PeerReviewed Abdollahi, Alireza and Rejeb, Karim and Rejeb, Abderahman and Mostafa, Mohamed M. and Zailani, Suhaiza Hanim Mohamad (2021) Wireless sensor networks in agriculture: Insights from bibliometric analysis. Sustainability, 13 (21). ISSN 2071-1050, DOI https://doi.org/10.3390/su132112011 <https://doi.org/10.3390/su132112011>. 10.3390/su132112011 |
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GE Environmental Sciences QA75 Electronic computers. Computer science Abdollahi, Alireza Rejeb, Karim Rejeb, Abderahman Mostafa, Mohamed M. Zailani, Suhaiza Hanim Mohamad Wireless sensor networks in agriculture: Insights from bibliometric analysis |
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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. |
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Article |
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Abdollahi, Alireza Rejeb, Karim Rejeb, Abderahman Mostafa, Mohamed M. Zailani, Suhaiza Hanim Mohamad |
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Abdollahi, Alireza Rejeb, Karim Rejeb, Abderahman Mostafa, Mohamed M. Zailani, Suhaiza Hanim Mohamad |
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Abdollahi, Alireza |
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 |
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Wireless sensor networks in agriculture: Insights from bibliometric analysis |
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Wireless sensor networks in agriculture: Insights from bibliometric analysis |
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wireless sensor networks in agriculture: insights from bibliometric analysis |
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MDPI |
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2021 |
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http://eprints.um.edu.my/35314/ |
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