A Multi-Farm Global-to-Local Expert-Informed Machine Learning System for Strawberry Yield Forecasting
Matthew Beddows,
Georgios Leontidis
Abstract:The importance of forecasting crop yields in agriculture cannot be overstated. The effects of yield forecasting are observed in all the aspects of the supply chain from staffing to supplier demand, food waste, and other business decisions. However, the process is often inaccurate and far from perfect. This paper explores the potential of using expert forecasts to enhance the crop yield predictions of our global-to-local XGBoost machine learning system. Additionally, it investigates the ERA5 climate model’s via… Show more
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