Sentinel-2B and Random Forest algorithm potential for sugarcane varieties identification. - Daniel Garbellini Duft; Ana Cláudia dos Santos Luciano; Peterson Ricardo Fiorio (GEOINFO, 2019)

A generalized space-time OBIA classification scheme to map sugarcane areas at regional scale, using Landsat images time-series and the random forest algorithm. - Ana Cláudia dos Santos Luciano; Michelle Cristina Araújo Picoli; Jansle Vieira Rocha; Daniel Garbellini Duft; Rubens Augusto Camargo Lamparelli; Manoel Regis Lima Verde Leal; Guerric le Maire (Int. J. Appl. Earth Obs. Geoinformation, 2019)

Empirical model for forecasting sugarcane yield on a local scale in Brazil using Landsat imagery and random forest algorithm. - Ana Cláudia dos Santos Luciano; Michelle Cristina Araújo Picoli; Daniel Garbellini Duft; Jansle Vieira Rocha; Manoel Regis Lima Verde Leal; Guerric le Maire (Comput. Electron. Agric., 2021)

Performance evaluation of Sentinel-2 imagery, agronomic and climatic data for sugarcane yield estimation. - Rafaella Pironato Amaro; Pierre Todoroff; Mathias Christina; Daniel Garbellini Duft; Ana Cláudia dos Santos Luciano (Comput. Electron. Agric., 2025)