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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發表在: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
格式: Artigo
語言:Inglês
出版: MDPI 2020
主題:
Letter
在線閱讀: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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