Predicting irrigation water quality indices based on data-driven algorithms: case study in semiarid environment

HIGHLIGHTS

  • who: Dimple and collaborators from the SWE Department, CTAE, Maharana Pratap University of Agriculture and Technology, Udaipur, Rajasthan, India have published the research work: Predicting Irrigation Water Quality Indices Based on Data-Driven Algorithms: Case Study in Semiarid Environment, in the Journal: Journal of Chemistry of 29/08/2022
  • what: This study aims to assess the irrigation water quality indices employing the machine_learning models in the Nand Samand catchment. The finding of the study shows that machine_learning models are quite good at predicting water quality levels . Along with the models discussed previously, a radar map . . .

     

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