About the Event
Advances in computer vision and machine learning have opened up new possibilities in a number of exciting areas, including very traditional fields such as agriculture. This talk describes work being done to use sensors and real-time action to transform agricultural practices from a one-size-fits-all approach, where whole fields are treated uniformly, to a plant-by-plant approach, where every plant is treated and cared for individually. In addition, highly precise GPS and advances in data processing and storage enable new ways of utilizing information across many of the operations found in farming. All of this leads to an exciting area of rapid expansion, where cutting-edge tools and technology from robotics are being incorporated into products that impact the very food we eat.
Jim is VP of Engineering for Blue River Technology, a Sunnyvale-based company working to bring tools from computer vision and robotics to bear in agriculture. Blue River Technology, recently acquired by John Deere in September 2017, is focused on developing See & Spray technology that provides real-time weed detection and spraying to reduce herbicide usage by 90%. Before that, Jim worked for Evolution Robotics, which later became Evolution Robotics Retail, before being acquired by Datalogic. Jim’s field of expertise includes mobile robotics, nonlinear dynamics, and vision-based recognition and control. Before joining the start-up world, Jim was at the U Penn, where he was a tenured Associate Professor in the Department of Mechanical Engineering and a member of the General Robotics, Sensing, Automation and Perception (GRASP) Lab. He holds a Ph.D. in Mechanical Engineering from the Caltech. He is a former Associate Editor for the journal IEEE Transactions on Robotics and Automation, was the recipient of the NSF CAREER Young Investigator Award for his work in robotics, and received a Datalogic VIP award for his technical work on the LaneHawk product.
- Please RSVP by 5 pm on July 17th
- Those who have not registered will have to wait at the door as registered alumni are seated first
- Pay at the door. $20.00 including lunch, tax and gratuity. $5.00 for those not eating the buffet. (Please state "not eating" after your name when you RSVP)
- Please RSVP if you plan to attend. All registrants are committed to pay.
Questions? Contact: : Peter Tong (MS '81, PhD '85), email@example.com