Our faculty pursue a vigorous research agenda for digital agriculture (DA) through interdisciplinary collaborations that will transform agriculture and foster a pipeline of practical innovations. Through the use of new and advanced technologies that autonomously collect, integrate and transmit information, DA is creating new tools and providing practical solutions to improve effective, real-time decision-making on farms and at many points throughout agricultural systems.
Digital technologies include sensors, robotics, unmanned aviation systems, communication networks, artificial intelligence, machine learning and other advanced systems and devices. The ability to integrate data from different technologies and deliver it to the appropriate people in an understandable format is critical to support informed farming operations and to enhance farm productivity and profitability.
Meet Yu Jiang
Assistant research professor of systems engineering and data analytics
Jiang recently joined Cornell AgriTech to help further digital agriculture initiatives on our campus. His research program focuses on developing, evaluating and commercializing engineering systems for use in specialty crop management and breeding. Jiang collaborates with many different faculty members in Geneva across disciplines on the development of technology that be used for crop management.
Recent digital agriculture projects
Agricultural robotics, Image processing, high-throughput plant phenotyping