Your browser doesn't support javascript.
loading
A Bibliometric Analysis of the Evolution of State-of-the-Art Blockchain Technology (BCT) in the Agrifood Sector from 2014 to 2022.
Sugandh, Urvashi; Nigam, Swati; Misra, Sanjay; Khari, Manju.
Afiliação
  • Sugandh U; Department of Computer Science, Faculty of Mathematics and Computing, Banasthali Vidyapith, Banasthali 304022, India.
  • Nigam S; Department of Computer Science, Faculty of Mathematics and Computing, Banasthali Vidyapith, Banasthali 304022, India.
  • Misra S; Department of Applied Data Science, Institute for Energy Technology, 1777 Halden, Norway.
  • Khari M; School of Computer and System Sciences, Jawaharlal Nehru University, Delhi 110067, India.
Sensors (Basel) ; 23(14)2023 Jul 10.
Article em En | MEDLINE | ID: mdl-37514574
ABSTRACT
In recent years, BCT has garnered significant attention from researchers worldwide. The technology in question is a distributed database system characterised by its decentralised nature and lack of reliability. BCT has been widely adopted by numerous governments and scholars across various sectors for a number of years. Blockchain technology also involves highly innovative and advanced concepts. Given the increasing interest among scholars in the academic community regarding the agrifood supply chain, the objective of this study was to investigate BCT and its potential for application in the fields of food and agriculture. This research paper presents a bibliometric analysis of articles on the utilisation of BCT in the fields of food and agriculture. This study discusses scholarly articles that have been published in esteemed academic journals and conferences. Through our bibliometric analysis, we aimed to discern the recurring trends and themes within the research on BCT in relation to agrifood systems. Furthermore, this study examines a diverse array of research domains, prominent scholarly publications, leading publishing platforms, prominent funding institutions, and the prospective trajectory of future research. This study also presents the prominent patterns and themes within this field through an analysis of the most influential scholarly articles, authors, countries, and keywords found in the existing literature. Hence, this research employed various analytical techniques, including analyzing the co-occurrence of author keywords, bibliographic coupling analysis, network view map analysis, and co-citation analysis. This study holds promise as a valuable learning resource for aspiring researchers seeking to acquire compelling and pertinent information about research outcomes from studies on the utilisation of BCT in the field of smart agriculture.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article