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Harnessing machine learning and big data to fight hunger

Oct 22, 2018

A group of Cornell researchers has received a $1 million grant from the U.S. Agency for International Development to use machine learning to rapidly analyze agricultural and food market conditions, aiming to better predict poverty and undernutrition in some of the world’s poorest regions. Read more

Grass genes tapped to breed better crops

Oct 18, 2018

Cornell researchers will tap into genetic information found in more than 700 species of related grasses to improve maize and sorghum, thanks to a $5 million grant from the National Science Foundation. Read more