A Deep Neural Network Architecture to Model Reference Evapotranspiration Using a Single Input Meteorological Parameter

Thus, the identification of the highly significant meteorological parameter that contributes the most to ETo estimation for each meteorological area under study will lead to the development of a cost-effective ETo prediction model, particularly in limited input parameter ETo modelling experiments.

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