Detecting Intra-Field Variation in Rice Yield With Unmanned Aerial Vehicle Imagery and Deep Learning

Unmanned aerial vehicles (UAVs) equipped with multispectral sensors offer high spatial and temporal resolution imagery for monitoring crop stress at early stages of development. Analysis of UAV-derived data with advanced machine learning models could improve real-time management in agricultural syst...

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Detalles Bibliográficos
Autores principales: Bellis, Emily S., Hashem, Ahmed A., Causey, Jason L., Runkle, Benjamin R. K., Moreno-García, Beatriz, Burns, Brayden W., Green, V. Steven, Burcham, Timothy N., Reba, Michele L., Huang, Xiuzhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8984025/
https://www.ncbi.nlm.nih.gov/pubmed/35401643
http://dx.doi.org/10.3389/fpls.2022.716506

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8984025/
https://www.ncbi.nlm.nih.gov/pubmed/35401643
http://dx.doi.org/10.3389/fpls.2022.716506

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