Wireless Sensor Networks in Agriculture: Insights from Bibliometric Analysis

Alireza Abdollahi, Karim Rejeb, Abderahman Rejeb, Mohamed M. Mostafa and Suhaiza Zailani
Additional contact information
Alireza Abdollahi: Department of Business Administration, Faculty of Management, Kharazmi University, Tehran 1599964511, Iran
Karim Rejeb: Faculty of Sciences of Bizerte, University of Carthage, Zarzouna, Bizerte 7021, Tunisia
Abderahman Rejeb: Doctoral School of Regional Sciences and Business Administration‚ Széchenyi István University‚ 9026 Győr, Hungary
Mohamed M. Mostafa: College of Business, Gulf University for Science and Technology, Hawally 40006, Kuwait
Suhaiza Zailani: Department of Operations Management and Information System, Faculty of Business and Accountancy, University Malaya, Kuala Lumpur 50203, Malaysia

Sustainability, 2021, vol. 13, issue 21, 1-22

Abstract: 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.

Keywords: wireless sensor networks; agriculture; precision agriculture; Internet of Things; bibliometrics (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
https://www.mdpi.com/2071-1050/13/21/12011/pdf (application/pdf)
https://www.mdpi.com/2071-1050/13/21/12011/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:13:y:2021:i:21:p:12011-:d:668718

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().