The dataset used for predictive modelling was generated by the Wild Blueberry Pollination Simulation Model, which is an open-source, spatially-explicit computer simulation program, that enables exploration of how various factors, including plant spatial arrangement, outcrossing and self-pollination, bee species compositions and weather conditions, in isolation and combination, affect pollination efficiency and yield of the wild blueberry agro-ecosystem.
In this, an attempt is made to predict the yield of the wild blueberry agro-ecosystem.
The target feature is Yield.
The metric used for evaluation is RMSE
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