Computer Vision and Robotics in the New Era of Digital Agriculture

BY Jim Ostrowski
Posted: 13 Feb 2018

Time: 23:16

Computer Vision and Robotics in the New Era of Digital Agriculture

Video Description

The 20th Century saw transformative changes in agriculture, with the introduction of mechanization, the use of new chemistries for fertilization and pest control, and the advent of genetically modified crops. As the demands on food production continue to expand, new technologies are leading to a modern shift into a digital era of agriculture. Along with the increasing use of tools from Data Science, the introduction of Robotics, along with Computer Vision and Machine Learning, are playing a central role in this transformation. This talk will provide an overview of some of these new technologies and describe tools currently being developed and tested that allow farmers to efficiently and economically give plants individual care in order to reduce chemical usage and costs, while at the same time increasing crop yields.


ICRA-X 2017

ICRA-X is an outreach activity to the general public in the region that hosts the IEEE International Conference on Robotics and Automation (ICRA) by the IEEE Robotics and Automation Society. It will feature lively presentations from distinguished experts on popular and cutting-edge topics in the field. ICRA-X is aimed at enlightening the greater community, especially the young generation.



Dr. Jim Ostrowski is Vice President of Engineering for Blue River Technology, a Sunnyvale-based company working to bring tools from computer vision and robotics to bear in agriculture. Before that, he 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. Prior to joining the start-up world, Jim was at the University of Pennsylvania, 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) Laboratory. He holds a Ph.D. in Mechanical Engineering from the California Institute of Technology and an Sc.B. in Electrical Engineering from Brown University. 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.



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