Cloud computing in agriculture: a bibliometric and network visualization analysis

Krunal K. Punjani (), Kala Mahadevan (), Angappa Gunasekaran (), V. V. Ravi Kumar () and Sujata Joshi ()
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Krunal K. Punjani: Narsee Monjee Institute of Management Studies
Kala Mahadevan: Symbiosis International (Deemed University)
Angappa Gunasekaran: Penn State Harrisburg
V. V. Ravi Kumar: Symbiosis International (Deemed University)
Sujata Joshi: Symbiosis International (Deemed University)

Quality & Quantity: International Journal of Methodology, 2023, vol. 57, issue 4, No 43, 3849-3883

Abstract: Abstract This study is intended to quantitatively analyze the research trends in the domain of cloud computing in agriculture by conducting the first ever bibliometric analysis in this domain. This paper analyzed 565 research articles published during 2010–2021 in this area. Cloud computing in agriculture has been found to be a research area with promising growth with various technologies and applications. This bibliometric analysis highlights the research’s impact through several bibliometric techniques including trend analysis, citation analysis, key contributors, bibliographic coupling, keyword analysis, co-authorship analysis and co-citation analysis. Additionally, this study conducted a thematic analysis and determined four emerging themes in the domain of cloud computing in agriculture. The study adds to the academic body of knowledge in this domain by making several theoretical contributions to the existing literature and outlines relevant practical implications for the different stakeholders of cloud computing in agriculture. The study also charts a future research agenda in this research domain.

Keywords: Agriculture; Cloud computing; Farming; Bibliometric; Citation analysis (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s11135-022-01535-1

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