By Chidinma Ihuarulam

As climate change accelerates and global hunger rates climb, agricultural experts are warning that traditional farming methods alone may no longer be sufficient to sustain the world’s food supply. Artificial intelligence (AI) is increasingly being seen not as a future tool, but a current necessity in the fight for food security.

From crop monitoring and yield prediction to real-time disease detection, AI-driven innovations are reshaping how farmers manage threats to productivity. In many regions, however, adoption remains slow. Particularly among smallholder farmers who produce a significant portion of the world’s food supply, yet often lack access to advanced technologies.

“There’s an urgency to shift from research-heavy solutions to field-ready tools,” says Mustapha Diyaol Haqq, a Ghanaian AI and agriculture expert and the creator of Fama, a handheld device he plans to launch in 2025 that uses AI to detect crop diseases on the spot. Designed with rural farmers in mind, Fama is one of the few tools specifically built to bridge the gap between tech innovation and low-access agricultural communities.

Experts point out that the global food system can no longer rely solely on scale and output. What’s needed is precision, technology that can help farmers respond early to pests, changing weather patterns, and soil degradation. According to recent UN projections, up to 783 million people were facing hunger in 2023, a figure that may worsen without significant shifts in food production systems.

Despite breakthroughs, the integration of AI tools into national agricultural policies has lagged, particularly in regions most at risk. Without structured investment in infrastructure, training, and access, even the most innovative solutions risk becoming inaccessible to those who need them most.

“AI has the potential to protect harvests and support food systems,” Haqq says, “but only if we create conditions for it to scale beyond labs and pilot programs.”

Many experts echo this sentiment, urging governments and development partners to treat AI not as an add-on, but as a critical part of agricultural planning. With the right support, AI can help reduce input waste, guide planting cycles, and ultimately secure more stable food supplies for vulnerable populations.

As the climate continues to destabilize traditional farming patterns, the call is growing louder: it’s time for AI to move from innovation centers into the hands of everyday farmers, before the cost of inaction becomes irreversible.