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)

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)

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)

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 Nunes Lacerda; Chiara Rossi; Leticia de A. Moreno; Mailson Freire de Oliveira; Cristiane Pilon; Rouverson Pereira da Silva; George Vellidis (Remote. Sens., 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., 2022)

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., 2023)

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 001; Yiannis Ampatzidis; Rouverson Pereira da Silva; Luciano Shozo Shiratsuchi (Comput. Electron. Agric., 2024)

Deep convolutional networks based on lightweight YOLOv8 to detect and estimate peanut losses from images in post-harvesting environments. - Armando Lopes de Brito Filho; Franciele Morlin Carneiro; Vinicius dos Santos Carreira; Danilo Tedesco; Jarlyson Brunno Costa Souza; Marcelo Rodrigues Barbosa Júnior; Rouverson Pereira da Silva (Comput. Electron. Agric., 2025)