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Browse projects applying AI across the Collaborative's three strategic pillars.
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Cross-Pillar
Crop Breeding
Farmer Advisory
Hunger Forecasting
World Bank
Mining news articles to better forecast hunger crises
Hunger Forecasting
UN Food and Agriculture Organization
Turning field-level ground data into next-generation global maps of crops and yields
Cross Pillar
CGIAR
Improving hunger forecasting models and reducing breeding cycles
Cross Pillar
Center for Strategic & International Studies
Unifying a Policy Environment for AI-Integrated Solutions to Global Food Insecurity
Cross-Pillar
Wadhwani AI
Providing agricultural advice to smallholder farmers in India
Farmer Advisory
TomorrowNow
Delivering more accurate weather information to smallholder farmers
Farmer Advisory
University of Cape Town
Developing digital twins of farm environments to improve agricultural productivity
Farmer Advisory
One Acre Fund
Boosting smallholder farmers' yields and resilience through tailored advice
Farmer Advisory
The Sainsbury Laboratory
Accelerating the breeding of disease-resistant crops
Crop Breeding
Global Crop Diversity Trust
Securing Our Seeds (SOS): Digital Innovation for Global Crop Diversity Conservation
Crop Breeding
UC Berkeley
Enhancing Kenya's early warning system for food insecurity
Hunger Forecasting
NASA Harvest
Leveraging satellite data to rapidly assess the impact of food system shocks
Hunger Forecasting
Digital Green
Improving smallholder farmers' access to agricultural information and markets
Farmer Advisory
World Food Programme
Extending hunger forecasts from 30 to 90 days to enable timely interventions
Hunger Forecasting
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