Artificial intelligence in agriculture: Unveiling trends in supply chain advancements

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.