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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

2021Computers and Electronics in Agriculture57 citationsDOI

Topics & Concepts

Mean squared errorSatelliteScale (ratio)Remote sensingSatellite imageryEnvironmental scienceYield (engineering)Random forestMathematicsMeteorologyAlgorithmStatisticsComputer scienceGeographyCartographyEngineeringMachine learningMetallurgyAerospace engineeringMaterials scienceSugarcane Cultivation and ProcessingRemote Sensing in AgricultureSpectroscopy and Chemometric Analyses
Empirical model for forecasting sugarcane yield on a local scale in Brazil using Landsat imagery and random forest algorithm | Litcius