Deep Learning Regression Approaches Applied to Estimate Tillering in Tropical Forages Using Mobile Phone Images

We assessed the performance of Convolutional Neural Network (CNN)-based approaches using mobile phone images to estimate regrowth density in tropical forages. We generated a dataset composed of 1124 labeled images with 2 mobile phones 7 days after the harvest of the forage plants. Six architectures...

Descripción completa

Detalles Bibliográficos
Autores principales: Santos, Luiz, Junior, José Marcato, Zamboni, Pedro, Santos, Mateus, Jank, Liana, Campos, Edilene, Matsubara, Edson Takashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185313/
https://www.ncbi.nlm.nih.gov/pubmed/35684736
http://dx.doi.org/10.3390/s22114116

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185313/
https://www.ncbi.nlm.nih.gov/pubmed/35684736
http://dx.doi.org/10.3390/s22114116

Ejemplares similares