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In China, for example, research shows that plastic field covers keep the soil warm and wet in a way that boosts productivity considerably; an additional 15,000 square miles of arableland—an area about the size of Switzerland—would be required to produce the same amount of food. As contamination rose, cropyields fell by 15 percent.
xvi] Regenerative agriculture is key to flood resilience and prevention of the decimation of cropyields. In periods of high rainfall, grasslands and woodlands soak up water much more effectively than arableland, reducing the speed of runoff and the risk of rivers bursting their banks.[xvii]
So, as AI technologies advance, what impacts will they have on agri-food value chains? From advisory tools increasing supplychain efficiency to gene editing and predictive breeding speeding up R&D cycles, industry leaders are leveraging AI models to transform agriculture at scale into a more resilient and sustainable system.
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