Machine Learning for Seed Quality Classification: An Advanced Approach Using Merger Data from FT-NIR Spectroscopy and X-ray Imaging. - André Dantas de Medeiros; Laércio Junio da Silva; João Paulo Oliveira Ribeiro; Kamylla Calzolari Ferreira; Jorge Tadeu Fim Rosas; Abraão Almeida Santos; Clíssia Barboza da Silva (Sensors, 2020)

A Novel Vegetation Index for Coffee Ripeness Monitoring Using Aerial Imagery. - Rodrigo Nogueira Martins; Francisco de Assis de Carvalho Pinto; Daniel Marçal de Queiroz; Domingos Sárvio Magalhães Valente; Jorge Tadeu Fim Rosas (Remote. Sens., 2021)

Drivers of Organic Carbon Stocks in Different LULC History and along Soil Depth for a 30 Years Image Time Series. - Mahboobeh Tayebi; Jorge Tadeu Fim Rosas; Wanderson de Sousa Mendes; Raúl Roberto Poppiel; Yaser Ostovari; Luis Fernando Chimelo Ruiz; Natasha Valadares dos Santos; Carlos Eduardo Pellegrino Cerri; Sérgio Henrique Godinho Silva; Nilton Curi; Nélida Elizabet Quiñonez Silvero; José Alexandre Melo Demattê (Remote. Sens., 2021)

Digital mapping of coffee ripeness using UAV-based multispectral imagery. - Rodrigo Nogueira Martins; Francisco de Assis de Carvalho Pinto; Daniel Marçal de Queiroz; Domingos Sárvio Magalhães Valente; Jorge Tadeu Fim Rosas; Marcelo Fagundes Portes; Elder Sânzio Aguiar Cerqueira (Comput. Electron. Agric., 2023)

A Step Forward in Hybrid Soil Laboratory Analysis: Merging Chemometric Corrections, Protocols and Data-Driven Methods. - Bruno dos Anjos Bartsch; Nícolas Augusto Rosin; Uemeson José dos Santos; João Augusto Coblinski; Marcelo H. P. Pelegrino; Jorge Tadeu Fim Rosas; Raúl Roberto Poppiel; Ednilson Batista Ortiz; Viviane Cristina Vivian Kochinki; Paulo Gallo; Eyal Ben-Dor; Renan Falcioni; et al. (Remote. Sens., 2024)