Daily reference evapotranspiration (ETo) forecasts can help farmers in irrigation planning.
Therefore, this study assesses the potential of deep learning (long short-term memory …

Rapid advancements in technology, particularly in soil tools and agricultural machinery,
have led to the proliferation of mechanized agriculture. The interaction between such …

A novel approach for estimating precipitation patterns is developed here and applied to
generate a new hydrologically corrected daily precipitation dataset, called RAIN4PE (Rain …

Crop water footprint (WF) calculation via physical process-based crop or hydrological
models has basic requirements in terms of cost, time, and knowledge threshold. It is …

Reference evapotranspiration (ET0) estimates are commonly used in hydrologic planning
for water resources and agricultural applications. Last 2 decades, machine learning (ML) …

Computation of crop evapotranspiration (ET c) is a necessary for irrigation planning and
agricultural water management. However, ET c is complex and dynamic depending on many …

The determination of the amount of precipitable water vapor (PWV) from global navigation
satellite system (GNSS) is restricted to a limited number of ground-based stations with low …

The distributed measured data in large regions and remote locations, along with a need to
estimate climatic data for point sites where no data have been recorded, has encouraged …

Developing biofuels from bioenergy crops is essential for replacing conventional fossil
energy and addressing climate change. Timely and reliable water footprints prediction is …

Abstract Smart Irrigation System is a complex concept used to control, monitor and automate
the irrigation of yields by integrating artificial intelligence techniques such as Machine …