A Cluster-Based Approach to Support the Delineation of Management Zones in Precision Agriculture. - Eduardo Antonio Speranza; Ricardo Rodrigues Ciferri; Celia Regina Grego; Luiz Eduardo Vicente (eScience, 2014)

Mapping fractional landscape soils and vegetation components from Hyperion satellite imagery using an unsupervised machine-learning workflow. - Michael J. Friedel; Paolo Massimo Buscema; Luiz Eduardo Vicente; Fabio Iwashita; Andréa Koga-Vicente (Int. J. Digit. Earth, 2018)

Improvement of Clay and Sand Quantification Based on a Novel Approach with a Focus on Multispectral Satellite Images. - Caio T. Fongaro; José Alexandre Melo Demattê; Rodnei Rizzo; José Lucas Safanelli; Wanderson de Sousa Mendes; André Carnieletto Dotto; Luiz Eduardo Vicente; Marston Héracles Domingues Franceschini; Susan L. Ustin (Remote. Sens., 2018)

Mapping Key Indicators of Forest Restoration in the Amazon Using a Low-Cost Drone and Artificial Intelligence. - Rafael Walter Albuquerque; Daniel Luis Mascia Vieira; Manuel Eduardo Ferreira; Lucas Pedrosa Soares; Søren Ingvor Olsen; Luciana Spinelli de Araujo; Luiz Eduardo Vicente; Julio Ricardo Caetano Tymus; Cintia Palheta Balieiro; Marcelo Matsumoto; Carlos Henrique Grohmann (Remote. Sens., 2022)

Hierarchical Classification of Soybean in the Brazilian Savanna Based on Harmonized Landsat Sentinel Data. - Taya Cristo Parreiras; Édson Luis Bolfe; Michel Eustáquio Dantas Chaves; Ieda Del'Arco Sanches; Edson Eyji Sano; Daniel de Castro Victoria; Giovana Maranhão Bettiol; Luiz Eduardo Vicente (Remote. Sens., 2022)

Mapping Agricultural Intensification in the Brazilian Savanna: A Machine Learning Approach Using Harmonized Data from Landsat Sentinel-2. - Édson Luis Bolfe; Taya Cristo Parreiras; Lucas Augusto Pereira da Silva; Edson Eyji Sano; Giovana Maranhão Bettiol; Daniel de Castro Victoria; Ieda Del'Arco Sanches; Luiz Eduardo Vicente (ISPRS Int. J. Geo Inf., 2023)