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

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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Bibliographic Details
Main Authors: Wellington Castro, José Marcato Junior, Caio Polidoro, Lucas Prado Osco, Wesley Gonçalves, Lucas Rodrigues, Mateus Santos, Liana Jank, Sanzio Barrios, Cacilda Valle, Rosangela Simeão, Camilo Carromeu, Eloise Silveira, Lúcio André de Castro Jorge, Edson Matsubara
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
Convolutional Neural Network
biomass yield
data augmentation
phenotyping
Online Access:https://www.mdpi.com/1424-8220/20/17/4802

Internet

https://www.mdpi.com/1424-8220/20/17/4802

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