Farmers, consumers, and intermediaries such as processors, traders, and wholesalers form essential components of the agricultural supply chain (ASC). This paper presents a bibliometric analysis of Artificial Intelligence (AI) methodologies contributing to Agriculture 4.0 based on publications retrieved from the Scopus database from the years 2000–2021. Using multiple correspondence analysis and topic dendrograms, key research trends are identified through keyword clustering. The study examines global collaboration in AI-driven agriculture and explores AI and machine learning (ML) applications across pre-production, production, and post-harvest stages. By mapping thematic developments, this research provides insights into the transformative role of AI in modernizing ASCs