Kashyap, Abhishek, Shukla, Om Ji, Prakash, Surya and Kumar, Rupesh
(2025)
Artificial intelligence in agriculture: unveiling trends in supply chain advancements.
Sustainable Futures, 29: 100708.
pp. 1-19.
ISSN 2666-1888
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Abstract
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
Item Type: | Article |
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Keywords: | Agricultural supply chain | Artificial intelligence techniques | Bibliometric analysis | Artificial intelligence applications | Agriculture 4.0 | Internet of Things (IoT) |
Subjects: | Social Sciences and humanities > Business, Management and Accounting > Management Information Systems Physical, Life and Health Sciences > Computer Science Social Sciences and humanities > Social Sciences > Library and Information Science |
JGU School/Centre: | Jindal Global Business School |
Depositing User: | Mr Luckey Pathan |
Date Deposited: | 02 Jun 2025 11:15 |
Last Modified: | 02 Jun 2025 11:15 |
Official URL: | https://doi.org/10.1016/j.sftr.2025.100708 |
URI: | https://pure.jgu.edu.in/id/eprint/9584 |
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