Development and validation of a model based on vegetation indices for the prediction of sugarcane yield.
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This study aimed to develop a predictive model for sugarcane production based on data extracted from aerial imagery obtained from drones or satellites, allowing the precise tracking of plant development in the field.
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Agricultura digital, Inverse Gaussian distribution, Modelo preditivo, Distribuição gaussiana inversa, Remotely piloted aircraft systems, RPAS, Digital agriculture, Saccharum Officinarum, Cana de Açúcar, Sugarcane, Models, Vegetation index