Machine learning algorithms are increasingly used in various remote sensing applications
due to their ability to identify nonlinear correlations. Ensemble algorithms have been …

Water is the most valuable natural resource on earth that plays a critical role in the socio-
economic development of humans worldwide. Water is used for various purposes, including …

Reference evapotranspiration (ET o) is one of the most important and influential components
in optimizing agricultural water consumption and water resources management. In the …

Actual evapotranspiration (AET) is one of the decisive factors controlling the water balance
at the catchment level, particularly in arid and semi-arid regions, but measured data for …

Hydro-agrological research considers the reference evapotranspiration (ETo), driven by
meteorological variables, crucial for achieving precise irrigation in precision agriculture. ETo …

Since the last two decades, financial markets have exhibited several transformations owing
to recurring crises episodes that has led to the development of alternative assets …

Prediction of reference evapotranspiration (ET 0) remains a challenge, especially with
forward multi-step forecasting. The bottleneck facing current research is the limitation of the …

In the field of agriculture, the water used for irrigation should be given special treatment, as it
is responsible for a large proportion of total water consumption. Irrigation scheduling is …

As a non-linear phenomenon that varies along with agro-climatic conditions alongside many
other factors, Evapotranspiration (ET) process represents a complexity when be assessed …

Accurate rainfall nowcasting is necessary for real-time flood management in urban areas. In
this paper, some deep neural networks (DNNs) are developed for rainfall nowcasting with …