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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.
Basements and garages have long been fertile ground for innovation, with a host of well-known companies including Apple, Amazon and Harley-Davidson tracing back to humble residential roots. With arableland at a premium— urban sprawl is a growing threat to the farming region—“I’m lucky to have a big yard,” says Mateo.
Black polyethylene “mulch film” gets tucked snugly around crop rows, clear plastic sheeting covers hoop houses, and most farmers use plastic seed trays, irrigation tubes, and fertilizer bags. Mitigation requires slashing production and consumption, he adds, and increasing recycling and reuse all along the supplychain.
There will be enormous destruction of value for those involved in rearing animals and processing them, and for all the industries that support and supply the sector (fertilizers, machinery, veterinary services, and more). Other livestock markets such as chicken, pig, and fish will follow a similar trajectory.
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