Millimeter-Level Plant Disease Detection From Aerial Photographs via Deep Learning and Crowdsourced Data
Computer vision models that can recognize plant diseases in the field would be valuable tools for disease management and resistance breeding. Generating enough data to train these models is difficult, however, since only trained experts can accurately identify symptoms. In this study, we describe an...
Main Authors: | Tyr Wiesner-Hanks, Harvey Wu, Ethan Stewart, Chad DeChant, Nicholas Kaczmar, Hod Lipson, Michael A. Gore, Rebecca J. Nelson |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2019-12-01
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Series: | Frontiers in Plant Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fpls.2019.01550/full |
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