Cornell researchers and collaborators have developed a new framework that allows scientists to predict crop yield without the need for enormous amounts of high-quality data – which is often scarce in developing countries, especially those facing heightened food insecurity and climate risk.
Cornell researchers and collaborators have developed a new framework that allows scientists to predict crop yield without the need for enormous amounts of high-quality data – which is often scarce in developing countries, especially those facing heightened food insecurity and climate risk.
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Field Note
In fall 2025, Matthew Haycook joined Cornell University’s Master of Professional Studies Program, with Quirine Ketterings of the Nutrient Management Spear Program (NMSP) as his main academic advisor. Growing up, Haycook was deeply integrated...
News
Patrick Webb, a globally influential scholar of nutrition, food and agriculture policy, and humanitarian assistance, will join Cornell July 1 as the inaugural executive director of the Ashley School of Global Development and the Environment in...
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