Artificial Intelligence in Supply Chain of Agricultural Products: A Bibliometric Review

Bibliometric analysis is a part of systematic review using quantitative analysis of the influential studies of the subject that inspires decision making and pool of knowledge for the academicians. Considering relevance and keeping this background in mind, this study reviews the existing literature about artificial intelligence in agricultural supply chain. Specifically, a bibliometric and VOS viewer analysis was conducted of the influential studies of the subject in terms of various aspects, such as authors, sources, countries/regions, keywords, subject areas, citation overview, co-authorship, co-occurrence analysis of all keywords, bibliographic coupling and co-citation of cited references of the Scopus database between 2004 and 2024. The major subject areas were Computer Science, Engineering, Agricultural and Biological Sciences, Business, Management and Accounting and Environmental Science. The most productive journals were Sustainability (Switzerland), Computers and Electronics in Agriculture and Hassoun A as the most contributors. India, China and UK were the top three contributing countries. Based on the findings, the current study makes suggestions for the research topics that could be influential for further research.