AI-driven solutions aim to close Africa's agricultural yield gap

Artificial intelligence is being positioned as a key tool to boost productivity in African agriculture. Pilot AI advisory platforms in Ghana and Nigeria deliver SMS‑based, real‑time recommendations on planting dates, fertilizer use and pest control, with participating farmers reporting yield gains of 30 % to 50 % at a cost of only a few cents per message.

The International Monetary Fund’s July 2026 analysis warns that the continent’s agriculture faces severe constraints: climate variability alone costs 5 %‑15 % of GDP per capita, while food imports exceed $75 billion annually and are projected to rise to $110 billion by 2025. A joint UN‑FAO report recorded that 309 million Africans—about 20 % of the population—were food‑insecure in 2025, making Africa the region with the highest number of hungry people worldwide. Nigeria alone is expected to see 35 million people facing acute hunger in 2026 due to droughts, floods and conflict.

AI models that integrate satellite imagery, historical climate data and weather forecasts are being used to predict droughts, flood risks and optimal planting windows, offering a way to mitigate climate shocks and improve livelihoods for the continent’s small‑holder farmers, who produce roughly 80 % of Africa’s food.