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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Detalhes bibliográficos
Publicado no:Sensors (Basel)
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: MDPI 2020
Assuntos:
Letter
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7506807/
https://ncbi.nlm.nih.gov/pubmed/32858803
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20174802
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