Mateus Santos

According to our database, Mateus Santos authored at least 4 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Deep4Fusion: A Deep FORage Fusion framework for high-throughput phenotyping for green and dry matter yield traits.

Lucas de Souza Rodrigues, Edmar Caixeta Filho, Kenzo Miranda Sakiyama, Mateus Figueiredo Santos, Liana Jank, Camilo Carromeu, Eloise Silveira, Edson Takashi Matsubara, José Marcato Junior, Wesley Nunes Gonçalves

Comput. Electron. Agric., August, 2023

2022

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

Luiz Santos, José Marcato Junior, Pedro Zamboni, Mateus Santos, Liana Jank, Edilene Campos, Edson Takashi Matsubara

Sensors, 2022

2021

Convolutional Neural Networks to Estimate Dry Matter Yield in a Guineagrass Breeding Program Using UAV Remote Sensing.

Gabriel Silva de Oliveira, José Marcato Junior, Caio H. S. Polidoro, Lucas Prado Osco, Henrique Lopes Siqueira, Lucas de Souza Rodrigues, Liana Jank, Sanzio Barrios, Cacilda Valle, Rosangela Simeão, Camilo Carromeu, Eloise Silveira, Lúcio André de Castro Jorge, Wesley Nunes Gonçalves, Mateus Santos, Edson Takashi Matsubara

Sensors, 2021

2020

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

Wellington V. M. de Castro, José Marcato Junior, Caio H. S. Polidoro, Lucas Prado Osco, Wesley Nunes Gonçalves, Lucas de Souza Rodrigues, Mateus Santos, Liana Jank, Sanzio Barrios, Cacilda Valle, Rosangela Simeão, Camilo Carromeu, Eloise Silveira, Lúcio André de Castro Jorge, Edson Takashi Matsubara

Sensors, 2020