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ORCIDRouverson Pereira da Silva
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Journal Articles
- 2024
[j7]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:
Precision agriculture in the United States: A comprehensive meta-review inspiring further research, innovation, and adoption. Comput. Electron. Agric. 221: 108993 (2024)- 2023
- [j6]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:
Forage Mass Estimation in Silvopastoral and Full Sun Systems: Evaluation through Proximal Remote Sensing Applied to the SAFER Model. Remote. Sens. 15(3): 815 (2023) - 2022
- [j5]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:
Using UAV and Multispectral Images to Estimate Peanut Maturity Variability on Irrigated and Rainfed Fields Applying Linear Models and Artificial Neural Networks. Remote. Sens. 14(1): 93 (2022) - [j4]Mailson Freire de Oliveira, Brenda Valeska Ortiz, Guilherme Trimer Morata, Andrés-F. Jiménez, Glauco de Souza Rolim, Rouverson Pereira da Silva:
Training Machine Learning Algorithms Using Remote Sensing and Topographic Indices for Corn Yield Prediction. Remote. Sens. 14(23): 6171 (2022) - 2021
- [j3]Mailson Freire de Oliveira, Adão Felipe dos Santos, Elizabeth Haruna Kazama, Glauco de Souza Rolim, Rouverson Pereira da Silva:
Determination of application volume for coffee plantations using artificial neural networks and remote sensing. Comput. Electron. Agric. 184: 106096 (2021) - [j2]Danilo Tedesco, Bruno Rafael de Almeida Moreira, Marcelo Rodrigues Barbosa Júnior, João Paulo Papa, Rouverson Pereira da Silva:
Predicting on multi-target regression for the yield of sweet potato by the market class of its roots upon vegetation indices. Comput. Electron. Agric. 191: 106544 (2021) - 2020
- [j1]Danilo Tedesco-Oliveira, Rouverson Pereira da Silva, Walter Maldonado Júnior, Cristiano Zerbato:
Convolutional neural networks in predicting cotton yield from images of commercial fields. Comput. Electron. Agric. 171: 105307 (2020)
Coauthor Index
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last updated on 2024-10-07 22:15 CEST by the dblp team
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