Plant biologist Michael Scanlon received a $1.8 million grant from the National Science Foundation Plant Genome Research Program to continue his research on the process of shoot development in maize.
From mindfulness to mRNA vaccines to the music business, the 250 attendees at this year’s Eclectic Convergence conference held at the Verizon Center on the Cornell Tech campus Nov. 12 got a front row seat into the many facets of life as an entrepreneur.
Cornell researchers will develop the first high-resolution carbon monitoring system for East Africa that combines “bottom up” ecological modeling with “top down” satellite data, thanks to a three-year, $1 million NASA grant.
Working with Walmart Inc., researchers in the College of Agriculture and Life Sciences have developed an online greenhouse gas emissions accounting tool, FAST-GHG, to help quantify these emissions in crop production.
A $30 million commitment from David R. Atkinson ’60 and Patricia Atkinson will name a new multidisciplinary building on campus, intended to foster innovative and collaborative research in key university priority areas.
An analysis of high-speed raindrops hitting biological surfaces such as feathers, plant leaves and insect wings reveals how these highly water-repelling veneers reduce the water’s impact.
Normal blood levels of vitamin D don’t affect one’s susceptibility to getting COVID-19 or the severity of infections, according to new research led by Bonnie Patchen, a doctoral student in the field of nutrition.
From fully autonomous berry harvesters to plant-based lupini bean protein bars, the startups competing for $3 million in prize money at this year’s Grow-NY Food and Agriculture Competition are bringing revolutionary innovations to market.
An Immunoprofiling Workshop – sponsored by the Cornell Center for Immunology, Dec. 13 in Stocking Hall – will feature technology experts who will provide case studies and best practices on various core technologies.
A Cornell-led, multi-institution, interdisciplinary team seeks to use computer vision, automation and robotics to optimize per-tree apple production, which is currently a highly manual and imprecise process.