Explore Digital Agriculture
Cornell Engineering is helping to create new tools and providing practical solutions to improve effective, real-time decision-making on farms and at many points throughout food systems. Digital technologies include sensors, robotics, unmanned aviation systems, communication networks, artificial intelligence, machine learning and other advanced systems and devices.
We welcome corporate and foundation collaborators to share in and support the advancement of digital agriculture initiatives through access to Cornell Engineering’s research, faculty and facilities. Some of the many ways to engage with us include collaborative research, curriculum support, student engagement, user facilities, technology transfer, and entrepreneurship.
Examples of how we have partnered with private and public entities
Cornell digital ag program integrates with John Deere Operations Center
The partnership with John Deere allows farmers to securely use their high-resolution agriculture data in real time to extract more useful operations information to run their operations.
Global fertilizer company acquires Cornell digital agriculture techA technology that gives farmers precise nitrogen recommendations for every section of their fields has been acquired by Yara International ASA, one of the world’s largest fertilizer companies.
Micro-satellites offer a fresh view of NYS farm and vineyard (video)These thumbnail-size satellites are harvesting valuable data that will help growers make more informed decisions about growing crops and caring for animals at Anthony Road Vineyard and Sunnyside Farm.
For more information about research, news, events, and resources, visit the Cornell Initiative for Digital Agriculture website.
Stroock Group Website
Expertise: Micro- and nanofluidics; biophysics; colloid and interface science; physics of water
Erickson Research Website
Expertise: Global health; point-of-care diagnostics; nanotechnology; photonics; microfluidics
You Group Website
Expertise: Advanced computational models; optimization algorithms; smart manufacturing; digital agriculture, energy systems; sustainability