Probabilistic forecasting of crop yields via quantile random forest and Epanechnikov Kernel function
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DOI: 10.1016/j.agrformet.2019.107808
Abstract: Abstract A reliable and accurate forecasting model for crop yields is of crucial importance for efficient decision-making process in the agricultural sector. However, due to weather extremes and uncertainties, most forecasting models for crop yield… read more here.
Keywords: crop; kernel function; epanechnikov kernel; quantile random ... See more keywords