AI for inclusive and resilient agri-food systems: Potential ways forward

2026-06-05 · Source: OECD.AI - Wp.oecd.ai · Field: Agriculture & Food Systems — Agricultural Sustainability & Climate, Precision Agriculture & Smart Farming, Agricultural Economics & Policy · Depth: Fundamental Awareness, quick

Summary

The OECD.AI platform has released an analysis titled "AI for inclusive and resilient agri-food systems: Potential ways forward," which investigates the significant role artificial intelligence can play in bolstering global food security, resilience, and sustainability across agricultural and food supply chains. This publication delves into the key challenges currently confronting agri-food systems, such as climate change impacts, resource scarcity, and supply chain disruptions. Concurrently, it identifies and explores various opportunities where AI applications, ranging from precision agriculture to predictive analytics, can drive substantial improvements. The analysis aims to provide a strategic overview of how AI technologies can contribute to developing more robust, equitable, and efficient food systems, addressing both present-day inefficiencies and future demands for a growing population.

Key takeaway

For policy makers and agricultural strategists evaluating future investments in food security, this analysis highlights AI as a critical technology for building more resilient and sustainable agri-food systems. You should consider integrating AI-driven solutions into national and regional agricultural development plans to address challenges like climate change and resource management. Prioritize exploring specific AI applications that enhance efficiency and reduce waste across the entire food value chain.

Key insights

AI can significantly enhance food security, resilience, and sustainability in agri-food systems by addressing key challenges and opportunities.

Topics

• AI
• Agri-food Systems
• Food Security
• Sustainability
• Agricultural Resilience
• OECD.AI

Best for: Policy Maker, Consultant, Domain Expert

Related on AIssential

• The AI Algorithm Deciding What You’ll Eat in 2030 — AI algorithms are centralizing global agricultural decisions, replacing traditional farming knowledge with data-driven directives.
• AI isn’t likely to wipe out all farming jobs – but it is changing who bears the risks — AI in agriculture primarily supports human decision-making and task automation, shifting risk to farmers.
• Oman pours money into food security with $4.2B agriculture development — Geopolitical conflicts and rapid AI advancement are reshaping global economies, trade, and security paradigms.
• Think You Know AI? 25 Startups Prove You Wrong — AI is transforming physical world industries by enabling precise, scalable solutions across diverse sectors.
• Data Solutions for Tailoring Agronomic Support to Meet Regional Needs - with Tami Craig Schilling of Bayer Crop Science — Generative AI provides localized, precise agronomic advice by integrating diverse environmental and genetic data.
• Replacing humans with machines is leaving truckloads of food stranded and unusable — Over-reliance on opaque digital systems and AI in food supply chains creates critical vulnerabilities.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by OECD.AI - Wp.oecd.ai.