THE IMPACT OF ARTIFICIAL INTELLIGENCE ON AGRI-FOOD SUPPLY CHAIN SUSTAINABILITY: A SYSTEMATIC LITERATURE REVIEW

Abstract

Purpose: Considering the growth in artificial intelligence, the purpose of this paper is to review the impact of the use of artificial intelligence (AI) on agri-food supply chain (AFSC) sustainability. Specifically, the importance of AI technologies, along with their role and use in AFSC sustainability, has been analysed in this study. Design/methodology/: A systematic review has been adopted as the methodology in which precedent studies conducted on the topic have been collected using databases and search engines. The review is based on 60 papers published from 2018 to 2023 in international journals that have been collected. The analysis has been presented by using a thematic analysis approach. Findings: The paper indicates the use of AI technologies in the AFSC sector. It has been noticed that AI technologies such as machine learning, computer vision, robotics, blockchain, and others are being used in the agri-food sector to promote efficient performance. With the help of AI technologies, the sector has improved its operations and imposed control on problems such as food waste and losses. This contributes to promoting sustainability within the supply chain as the AI assist in managing the process from production to reaching the final consumer. Value: This research work has provided insights related to AI and its involvement in the agri-food supply chain. This paper is useful for agriculture, retailers, and policymakers as it provides valuable insights into the role of AI technologies and the benefits they offer to the agri-food sector.