Events
The institute helps supports events at K-State and beyond, from hosting workshops and trainings within the K-State community, to participating in local and regional conferences. If your department or organization is interested in partnering with ID3A to host events, contact us at id3a@k-state.edu.
Upcoming Events
Past Events
Windy, chilly weather didn’t keep more than 100 attendees away from a fun, hands-on Ag Tech Day on April 4 at Flickner Innovation Farm in Moundridge, Kansas.
The event, hosted by the K-State Institute for Digital Agriculture and Advanced Analytics, the Kansas Center for Agricultural Resources and the Environment, or KCARE, and Kansas 4-H, offered youth in grades 5-12 a unique opportunity to explore the farm and learn about both new and established technologies that are helping make farm management easier and more efficient. The day included drone and robot demonstrations, John Deere See & Spray activity, soil pit inspection, the NASA STELLA program, technology for finding and tracking insects and more.
ID3A and the Department of Statistics offered two specialized advanced analytics workshops to K-State students, staff and faculty, as well as non-K-State participants.
The inaugural AI in Kansas Ag Conference took place July 22 at The Ranch House in Lyndon, Kansas.
Co-hosted by K-State Extension and K-State's Institute for Digital Agriculture and Advanced Analytics, the conference drew approximately 200 veteran producers, industry tech leaders, university researchers, graduate students, state lawmakers and early-career farmers from across Kansas and beyond to explore how artificial intelligence is influencing the way farmers grow food and manage their land. Check out the news story of last year's event.
The Institute for Digital Agriculture and Advanced Analytics partnered with MathWorks, John Deere and K-State's FarmsLab to offer the complimentary in-person seminar, “Transforming Agriculture with MATLAB & Simulink,” for faculty, researchers, students and staff.
Attendees gained insights into the latest methods for vehicle dynamics modeling, photorealistic simulation, sensor fusion, deep learning for perception, algorithm verification and deployment, all aimed at advancing safety and productivity in agricultural operations.