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Open AccessEstimation of reference evapotranspiration based on machine learning models and timeseries analysis: a case study in an arid climate
Water scarcity is a major challenge for irrigated agriculture, particularly in develo** countries where access to meteorological data for calculating reference evapotranspiration (ETo) is limited. Thus, this st...
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Open AccessPrediction of Irrigation Water Requirements for Green Beans-Based Machine Learning Algorithm Models in Arid Region
Water scarcity is the most obstacle faced by irrigation water requirements, likewise, limited available meteorological data to calculate reference evapotranspiration. Consequently, the focal aims of the invest...
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Open AccessPrediction of irrigation water quality indices based on machine learning and regression models
Assessing irrigation water quality is one of the most critical challenges in improving water resource management strategies. The objective of this work was to predict the irrigation water quality index of the ...