Use of color parameters in the grouping of soil samples produces more accurate predictions of soil texture and soil organic carbon. - José Janderson Ferreira Costa; Élvio Giasson; Elisângela Benedet da Silva; João Augusto Coblinski; Tales Tiecher (Comput. Electron. Agric., 2020)

Exploring the Suitability of UAS-Based Multispectral Images for Estimating Soil Organic Carbon: Comparison with Proximal Soil Sensing and Spaceborne Imagery. - James Kobina Mensah Biney; Mohammadmehdi Saberioon; Lubos Boruvka; Jakub Houska; Radim Vasát; Prince Chapman Agyeman; João Augusto Coblinski; Ales Klement (Remote. Sens., 2021)

vis-NIR and XRF Data Fusion and Feature Selection to Estimate Potentially Toxic Elements in Soil. - Asa Gholizadeh; João Augusto Coblinski; Mohammadmehdi Saberioon; Eyal Ben-Dor; Ondrej Drábek; José Alexandre Melo Demattê; Lubos Boruvka; Karel Nemecek; Sabine Chabrillat; Julie Dajcl (Sensors, 2021)

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)