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...

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Detalles Bibliográficos
Autores principales: Wiesner-Hanks, Tyr, Wu, Harvey, Stewart, Ethan, DeChant, Chad, Kaczmar, Nicholas, Lipson, Hod, Gore, Michael A., Nelson, Rebecca J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6927297/
https://www.ncbi.nlm.nih.gov/pubmed/31921228
http://dx.doi.org/10.3389/fpls.2019.01550

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6927297/
https://www.ncbi.nlm.nih.gov/pubmed/31921228
http://dx.doi.org/10.3389/fpls.2019.01550

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