Prediction of irrigation water quality indices based on machine learning and regression models

HIGHLIGHTS

• who: Ali Mokhtar from the State of Key Laboratory of Soil Erosion and Dryland Farming On Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Northwest Agriculture and Forestry University, Yangling, China have published the research work: Prediction of irrigation water quality indices based on machine learning and regression models, in the Journal: (JOURNAL)
• what: The aim of this work was to predict the irrigation quality index of the Bahr El-Baqr Egypt based on nonexpensive approaches that requires simple parameters. The aim is to minimize the . . .
  

   

  

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