Cloud computing in agriculture: a bibliometric and network visualization analysis

Krunal K. Punjani, Kala Mahadevan, Angappa Gunasekaran, V. V.Ravi Kumar, Sujata Joshi

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)3849-3883
Number of pages35
JournalQuality and Quantity
Volume57
Issue number4
DOIs
StatePublished - Aug 2023

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • General Social Sciences

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