Millimeter-Level Plant Disease Detection From Aerial Photographs via Deep Learning and Crowdsourced Data
- DOI
- 10.3389/fpls.2019.01550
- Published
- 2019-12-12
- Container
- Frontiers in Plant Science
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fpls.2019.01550,
title = {Millimeter-Level Plant Disease Detection From Aerial Photographs via Deep Learning and Crowdsourced Data},
author = {Tyr Wiesner-Hanks and Harvey Wu and Ethan Stewart and Chad DeChant and Nicholas Kaczmar and Hod Lipson and Michael A. Gore and Rebecca J. Nelson},
year = {2019},
journal = {Frontiers in Plant Science},
doi = {10.3389/fpls.2019.01550},
url = {https://doi.org/10.3389/fpls.2019.01550}
}RIS
TY - JOUR TI - Millimeter-Level Plant Disease Detection From Aerial Photographs via Deep Learning and Crowdsourced Data AU - Tyr Wiesner-Hanks AU - Harvey Wu AU - Ethan Stewart AU - Chad DeChant AU - Nicholas Kaczmar AU - Hod Lipson AU - Michael A. Gore AU - Rebecca J. Nelson PY - 2019 JO - Frontiers in Plant Science DO - 10.3389/fpls.2019.01550 UR - https://doi.org/10.3389/fpls.2019.01550 ER -
APA
Wiesner-Hanks, T., Wu, H., Stewart, E., DeChant, C., Kaczmar, N., Lipson, H., Gore, M. A., & Nelson, R. J. (2019). Millimeter-Level Plant Disease Detection From Aerial Photographs via Deep Learning and Crowdsourced Data. Frontiers in Plant Science. https://doi.org/10.3389/fpls.2019.01550
Source records
- crossref · retrieved 2026-09-27T03:06:48.220Z