Deep Learning Applied to Phenotyping of Biomass in Forages with UAV-Based RGB Imagery

Monitoring biomass of forages in experimental plots and livestock farms is a time-consuming, expensive, and biased task. Thus, non-destructive, accurate, precise, and quick phenotyping strategies for biomass yield are needed. To promote high-throughput phenotyping in forages, we propose and evaluate...

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Detalles Bibliográficos
Autores principales: Castro, Wellington, Marcato Junior, José, Polidoro, Caio, Osco, Lucas Prado, Gonçalves, Wesley, Rodrigues, Lucas, Santos, Mateus, Jank, Liana, Barrios, Sanzio, Valle, Cacilda, Simeão, Rosangela, Carromeu, Camilo, Silveira, Eloise, Jorge, Lúcio André de Castro, Matsubara, Edson
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Letter
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506807/
https://www.ncbi.nlm.nih.gov/pubmed/32858803
http://dx.doi.org/10.3390/s20174802

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506807/
https://www.ncbi.nlm.nih.gov/pubmed/32858803
http://dx.doi.org/10.3390/s20174802

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