On Ioannina ERA5 hourly data, hybrid 1D-CNN–RNN models raise a composite WQS by 1.22–1.63% at 24 h and 0.44–0.45% at 168 h over the best single-layer GRU/LSTM baselines.
Development of an in vivo sensor to monitor the effects of vapour pressure deficit (VPD) changes to improve water productivity in agriculture,
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Exploratory Analysis of Deep Learning Models for Forecasting Meteorological Parameters in the Agricultural Sector
On Ioannina ERA5 hourly data, hybrid 1D-CNN–RNN models raise a composite WQS by 1.22–1.63% at 24 h and 0.44–0.45% at 168 h over the best single-layer GRU/LSTM baselines.