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Sébastien Dandrifosse

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Open access Jul 2026

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...

Valérian Authelet, Sébastien Dandrifosse, Valéry Michaud et al. · 0 citations

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