https://www.profitableratecpm.com/f4ffsdxe?key=39b1ebce72f3758345b2155c98e6709c
Over many decades, the agricultural research community has supported vulnerable smallholder farmers by improving crops, animals, and the resilience of farming systems, amassing a substantial and valuable body of data along the way. As global agricultural challenges deepen, artificial intelligence (AI) now offers powerful ways to unlock these data and enhance agricultural science. The potential of AI is compelling given the plight of vulnerable, smallholder farmers, including marginalized groups such as women, youth, Indigenous peoples, and remote, underserved communities. But amid the rush to develop and deploy AI tools, the sector must address key risks to keep expectations grounded and outcomes relevant and equitable.
