Browsing School of Business & Economics by Subject "Quantile random forest"
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Crop yield probability density forecasting via quantile random forest and Epanechnikov Kernel function
(2019)A reliable and accurate forecasting method for crop yields is very important for the farmer, the economy of a country, and the agricultural stakeholders. However, due to weather extremes and uncertainties as a result of ...