Experts on gender and plant breeding at Nov. 10 symposium

Experts in gender and research will gather at Cornell to Nov. 10 to address how gains from new plant breeding tools can be linked to more equitable outcomes for men and women.

Cornell Farm Ops sets up NYS veterans for success

Cornell’s Farm Ops program has changed the lives of thousands of veterans across New York by providing education, experts and resources to achieve success in agriculture.

Severe Caribbean droughts may magnify food insecurity

Climate change is impacting the Caribbean, with millions facing increasing food insecurity and decreasing freshwater availability as droughts become more likely across the region.

Plant breeder taps latest technology to feed the world

Mike Gore, Ph.D. '09, professor of plant breeding and genetics, is working on a more efficient way to develop crops that produce higher yields and better nutrition profiles as the world's population grows.

Global Grand Challenges event to spark faculty dialogue

Cross-campus gathering will focus on the biggest challenges facing the world, and help determine a theme on which the university will focus in the 2019-2020 academic year.

Cornell research boosts New York’s surging hard cider industry

Four generations of DeFishers have nurtured apples, pears and cherries on their 450-acre family orchard on the Lake Ontario shore in western New York. For 75 years, apples have been their mainstay.

Ezra

World Agriculture Prize winner is Cornell partner

A plant geneticist from the University of Ghana who has partnered with Cornell of years won the 2018 World Agriculture Prize.

New online tool shows climate change in your backyard

Climate change hits home. A warming world affects the Northeast region, and to demonstrate, the Cornell Institute for Climate Smart Solutions has developed a new online tool: Climate Change in Your County.

Harnessing machine learning and big data to fight hunger

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.