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Hybrid intelligence — arising from the sensible, targeted fusion of human minds and cutting-edge computational systems — holds great potential for enhancing the sustainability of agriculture. Leveraging the combined strengths of both collective human and artificial intelligence helps identify and stress-test pathways towards the reconciliation of biodiversity and productivity.
Data-driven personalized nutrition (PN) can address the complexities of food systems in megacities, aiming to enhance food resilience. By integrating individual preferences, health data and environmental factors, PN can optimize food supply chains, promote healthier dietary choices and reduce food waste. Collaborative efforts among stakeholders are essential to implement PN effectively.
The first instalment of the FAO food systems roadmap is a key step in identifying pathways to achieve zero hunger without breaching the 1.5 °C climate change threshold. But future instalments should be more methodologically transparent, emphasize the need to reduce animal-sourced food consumption and align with a holistic One Health approach.
The Periodic Table of Food Initiative addresses food biomolecular composition information gaps through a standardized, accessible and enabling platform based on analytical tools, data and capacity building. Data from 1,650 foods serve as starting point for demonstrating the capacity of this initiative to contribute to nutrition, health and food systems transformations.
