AI-Driven Decarbonization in Agri-Food Cold Chains With Smart Logistics and Renewable Energy

International transport of perishable goods currently struggles with high energy consumption and food loss due to supply chain inefficiencies. This chapter explores merging artificial intelligence with renewable energy to build a sustainable global cold chain. The authors specifically investigate Maximum Power Point Tracking (MPPT) algorithms in solar-powered warehousing to cut reliance on fossil-fuel generators. Additionally, the text analyzes how predictive analytics and digital twins can forecast customs delays and prevent spoilage. By aligning these interventions with the UN Sustainable Development Goals, the study outlines a viable decarbonization pathway. These strategies provide stakeholders with actionable methods to minimize Scope 3 emissions and ensure the resilience of cross-border food trade.