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...

Full beskrivning

Sparad:
Bibliografiska uppgifter
I publikationen:Sensors (Basel)
Huvudupphovsmän: 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
Materialtyp: Artigo
Språk:Inglês
Publicerad: MDPI 2020
Ämnen:
Letter
Länkar: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
Taggar: Lägg till en tagg
Inga taggar, Lägg till första taggen!

Liknande verk