Autonomous detection of plant disease symptoms directly from aerial imagery

Tyr Wiesner-Hanks, former Cornell graduate student when this work was conducted, currently a Discovery Breeder at PepsiCo discusses his study to demonstrate a proof‐of‐concept for an automated phenotyping system that combines the deep learning approach with UAV‐based imagery to accurately identify maize disease symptoms. Date recorded: Monday, December 12, 20119, 11am CST Associated article in The Plant Phenome Journal: Autonomous Detection of Plant Disease Symptoms Directly from Aerial Imagery Read the article: https://doi.org/10.2135/tppj2019.03.0006 Additional Resources: You can view more about the labs where this work was conducted Drs. Gore. http://blogs.cornell.edu/gorelab/ Dr. Nelson https://pppmb.cals.cornell.edu/people... or Dr. Lipson https://www.hodlipson.com/