Predicting Zea mays Flowering Time, Yield, and Kernel Dimensions by Analyzing Aerial Images

Image analysis methods for measuring crop phenotypes may replace traditional measurements if they more efficiently and reliably capture similar or superior information. This study used a recreational-grade unmanned aerial vehicle carrying a spectrally-modified consumer-grade camera to collect images...

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Detalles Bibliográficos
Autores principales: Wu, Guosheng, Miller, Nathan D., de Leon, Natalia, Kaeppler, Shawn M., Spalding, Edgar P.
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/PMC6797588/
https://www.ncbi.nlm.nih.gov/pubmed/31681364
http://dx.doi.org/10.3389/fpls.2019.01251

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797588/
https://www.ncbi.nlm.nih.gov/pubmed/31681364
http://dx.doi.org/10.3389/fpls.2019.01251

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