Book chapter abstract

AI-Powered Agricultural Supply Chains: Applications, Challenges, and Opportunities.


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Publication Details

Author list: Kanyepe, J., Chibaro, M., Morima, M., & Moeti-Lysson, J.

Publication year: 2025

Title of series: Integrating Agriculture, Green Marketing Strategies, and Artificial Intelligence

Start page: 33

End page: 64

Number of pages: 32



The integration of artificial intelligence (AI) into agricultural supply chains has catalyzed profound transformations in global farming practices. This chapter provides an in-depth exploration of the dynamic landscape of AI-powered agricultural supply chains, elucidating how smart technology is reshaping traditional farming paradigms. Through the utilization of artificial intelligence (AI) algorithms and data analytics, farmers are empowered to optimize various aspects of their operations, ranging from crop monitoring and yield forecasting to resource management and logistics. The methodology involved documentary analysis, comprising a critical review of academic books, articles, journals, and websites about artificial intelligence in agricultural supply chains. Content analysis was employed to identify and develop key thematic insights. The findings from this study provide valuable insights for policymakers and other key stakeholders in the agricultural supply chain on how to harness AI in decision-making.


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Last updated on 2025-26-03 at 15:45