From the Field

Sainsbury Lab and GetGenome completed landmark sequencing of Tunisian durum wheat landraces to support climate-resilient breeding and strengthen local scientific collaboration.

CGIAR and Google are developing an AI-powered “digital brain” for crop breeding that uses drone and smartphone imagery to automatically analyze crop traits across thousands of field trials.

HungerMap LIVE now uses AI-assisted forecasting to provide 30–90-day food security predictions across 16 hunger hotspot countries and identify key drivers of food insecurity.

AgriVaani is a multilingual, voice-enabled chatbot connecting farmers and extension workers with expert-backed agricultural knowledge in their own language.

A CSIS roundtable explored the opportunities and challenges of applying AI to crop breeding, including data access, regulation, and investment.

Collaborative members gathered in New Delhi to explore how AI and partnerships can help address global food security challenges.

ADAPT-Kenya brings together satellite data and AI to strengthen food security and improve access to agricultural information across Kenya.

omorrowNow is scaling AI-powered weather advisories for smallholder farmers across Africa, combining improved forecasts with locally delivered, actionable guidance.

The Securing Our Seeds project will digitize genebank data, strengthen crop diversity conservation, and explore AI-powered early warning systems.