Deep Learning for Strawberry Canopy Delineation and Biomass Prediction from High-Resolution Images

Modeling plant canopy biophysical parameters at the individual plant level remains a major challenge. This study presents a workflow for automatic strawberry canopy delineation and biomass prediction from high-resolution images using deep neural networks. High-resolution (5 mm) RGB orthoimages, near...

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Detalles Bibliográficos
Autores principales: Zheng, Caiwang, Abd-Elrahman, Amr, Whitaker, Vance M., Dalid, Cheryl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9595049/
https://www.ncbi.nlm.nih.gov/pubmed/36320455
http://dx.doi.org/10.34133/2022/9850486

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9595049/
https://www.ncbi.nlm.nih.gov/pubmed/36320455
http://dx.doi.org/10.34133/2022/9850486

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