Rouverson Pereira da Silva

According to our database, Rouverson Pereira da Silva authored at least 7 papers between 2020 and 2024.

Collaborative distances:

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

2024

Precision agriculture in the United States: A comprehensive meta-review inspiring further research, innovation, and adoption.

Marcelo Rodrigues Barbosa Júnior, Bruno Rafael de Almeida Moreira, Vinicius dos Santos Carreira, Armando Lopes de Brito Filho, Carolina Trentin, Flávia Luize Pereira de Souza, Danilo Tedesco, Tri Setiyono, Joao Paulo Flores, Yiannis Ampatzidis, Rouverson Pereira da Silva, Luciano Shozo Shiratsuchi

Comput. Electron. Agric., 2024

2023

Forage Mass Estimation in Silvopastoral and Full Sun Systems: Evaluation through Proximal Remote Sensing Applied to the SAFER Model.

Samira Luns Hatum de Almeida, Jarlyson Brunno Costa Souza, Sandra Furlan Nogueira, José Ricardo Macedo Pezzopane, Antônio Heriberto de Castro Teixeira, Cristiam Bosi, Marcos Adami, Cristiano Zerbato, Alberto Carlos de Campos Bernardi, Gustavo Bayma, Rouverson Pereira da Silva

Remote. Sens., February, 2023

2022

Training Machine Learning Algorithms Using Remote Sensing and Topographic Indices for Corn Yield Prediction.

Mailson Freire de Oliveira, Brenda Valeska Ortiz, Guilherme Trimer Morata, Andrés-F. Jiménez, Glauco de Souza Rolim, Rouverson Pereira da Silva

Remote. Sens., December, 2022

Using UAV and Multispectral Images to Estimate Peanut Maturity Variability on Irrigated and Rainfed Fields Applying Linear Models and Artificial Neural Networks.

Adão Felipe dos Santos, Lorena N. Lacerda, Chiara Rossi, Leticia de A. Moreno, Mailson Freire de Oliveira, Cristiane Pilon, Rouverson Pereira da Silva, George Vellidis

Remote. Sens., 2022

2021

Predicting on multi-target regression for the yield of sweet potato by the market class of its roots upon vegetation indices.

Danilo Tedesco, Bruno Rafael de Almeida Moreira, Marcelo Rodrigues Barbosa Júnior, João Paulo Papa, Rouverson Pereira da Silva

Comput. Electron. Agric., 2021

Determination of application volume for coffee plantations using artificial neural networks and remote sensing.

Mailson Freire de Oliveira, Adão Felipe dos Santos, Elizabeth Haruna Kazama, Glauco de Souza Rolim, Rouverson Pereira da Silva

Comput. Electron. Agric., 2021

2020

Convolutional neural networks in predicting cotton yield from images of commercial fields.

Danilo Tedesco-Oliveira, Rouverson Pereira da Silva, Walter Maldonado Júnior, Cristiano Zerbato

Comput. Electron. Agric., 2020