A new study describes a breakthrough method for imaging the physical and chemical interactions that sequester carbon in soil at near atomic scales, which may have implications for mitigating climate change.
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.
A Cornell-led project will use computer modeling and outreach to find optimal strategies to minimize COVID-19 cases and transmission among workers in food processing facilities, while maintaining the best possible production.
Aimee Schulz' research in the Buckler Lab for Maize Genetics and Diversity examines the plant’s competitive ability. With the help of a phenotyping robot, she is able to collect data of 6,000+ plants in under half an hour! Watch video
Jaron Porciello in the Department of Global Development is exploring barriers to the widespread adoption of digital agriculture tools through a grant from USAID and the Bill & Melinda Gates Foundation.
Students in fields ranging from computer science and engineering to business, agriculture and animal science convened at the second Digital Agriculture Hackathon, Feb. 28-March 1, with a shared purpose: to combine their disparate skills to brainstorm ways to make the world a better place.