Comparison of Physical and Deep Learning Weather Forecast Models for Agricultural Decision-Making in Belgium
Weather forecasts are crucial in agricultural decision-making. The first objective was to assess the performance of eight weather forecast models for predicting five key meteorological variables in agriculture: air temperature, humidity, wind speed, global radiation, and precipitation. The tested models were ICON-D2, A...