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  1. Article

    Open Access

    Prediction 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 ...

    Ali Mokhtar, Ahmed Elbeltagi, Yeboah Gyasi-Agyei, Nadhir Al-Ansari in Applied Water Science (2022)

  2. Article

    Open Access

    Prediction 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...

    Ali Mokhtar, Nadhir Al-Ansari, Wessam El-Ssawy, Renata Graf in Water Resources Management (2023)

  3. Article

    Open Access

    Estimation 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...

    Zeinab M. Hendy, Mahmoud A. Abdelhamid, Yeboah Gyasi-Agyei in Applied Water Science (2023)