A Systematic Review of Recent Models for Agri-Food Supply Chain Management With Emphasis on the Application of Artificial Intelligence and Sustainability

This work consists of a systematised review examining recent models for agri-food supply chain management (AFSCM), focusing on artificial intelligence (AI) applications and sustainability integration. Through PRISMA methodology, we conducted a descriptive statistical analysis of 183 articles published between 2019 and 2023. The dimensional analysis revealed that strategic modelling represented 55% of approaches, while perishable products were considered in 58% of studies. Sustainability principles were integrated into 74% of the models, while AI applications showed a limited 14% adoption across AFSCM. The analysis of AI implementations showed distribution in agricultural production management at 27%, transportation and logistics at 8%, and sustainability planning at 19%. A novel AFSCM taxonomy was developed through systematic classification, combining quantitative bibliometric analysis, qualitative thematic analysis and expert interpretation. The results identified gaps in mixed methods approaches and tactical or operational modelling, providing a structured framework for future research directions in AI integration and sustainable practices across agri-food supply chains.