Autonomous detection of plant disease symptoms directly from aerial imagery
Автор: The Plant Phenome Journal
Загружено: 2019-12-03
Просмотров: 1925
Описание:
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/
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