AI methodologies are revolutionizing agricultural supply chains by enhancing efficiency across pre-production, production, and post-harvest stages, driving Agriculture 4.0 innovation.
Authors
Abhishek Kashyap, National Institute of Technology Patna, India; VIT Business School, Vellore Institute of Technology, Vellore 632014, India
Om Ji Shukla, National Institute of Technology Patna, India
Surya Prakash, Operations Management Department, Great Lakes Institute of Management Gurgaon, Gurugram, Haryana, India
Rupesh Kumar, Professor,Jindal Global Business School, O.P. Jindal Global University, Sonipat, Haryana, India
Summary
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.
Published in: Sustainable Futures
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