Underlying Data on Twenty-Five Years of Research on Artificial Intelligence-Driven Farmers' Decision-Making: A Bibliometric and Science Mapping Analysis of Intellectual Structure, Thematic Evolution, and Future Research Directions

A bibliographic dataset exported from Scopus containing all records analyzed in this study on Artificial Intelligence-Driven Farmers' Decision-Making, including authors, titles, abstracts, keywords, affiliations, publication years, source titles, references, and citation information. The dataset covers scholarly publications examining the application of artificial intelligence technologies in supporting farmers' decision-making processes across agricultural planning, crop management, resource allocation, risk assessment, and precision agriculture.