In achieving water resource management goals such as irrigation scheduling, an accurate
estimate of reference evapotranspiration (ET 0) is critical. Support vector regression (SVR) …

A growing world population and increases in food and energy consumption have placed
production agriculture in a difficult situation. The rapid growth in food production through …

The present study aimed to model reconnaissance drought index (RDI) time series at three
various time scales (ie, RDI-6, RDI-9, RDI-12). Two weather stations located at Iran, namely …

Root zone temperature is one of the most important soil characteristics, controlling many of
the physical, chemical and biological processes in the soil. Temperature varies by soil …

Evapotranspiration (ET) is considered as a key factor in hydrological and climatological
studies, agricultural water management, irrigation scheduling, etc. It can be directly …

Buildings constitute approximately 40% of global energy consumption and contribute to
around one-third of total greenhouse gas emissions. Buried, earth-sheltered, and slope …

Air temperature is a vital meteorological variable required in many applications, such as
agricultural and soil sciences, meteorological and climatological studies, etc. Given the …

This research aims to model soil temperature (ST) using machine learning models of
multilayer perceptron (MLP) algorithm and support vector machine (SVM) in hybrid form with …

Precipitation is one of the most important components of the hydrologic cycle as it is required
for multi-objective applications including flood estimation, drought monitoring, watersheds …

Soil temperature (T s) is an essential regulator of a plant's root growth, evapotranspiration
rates, and hence soil water content. Over the last few years, in response to the climatic …