Modelling daily reference evapotranspiration based on stacking hybridization of ANN with meta-heuristic algorithms under diverse agro-climatic conditions

Faculty Engineering Year: 2022
Type of Publication: ZU Hosted Pages:
Authors:
Journal: Stochastic Environmental Research and Risk Assessment Springer Volume:
Keywords : Modelling daily reference evapotranspiration based , stacking    
Abstract:
Precise estimation of reference evapotranspiration (ET0) is crucial for efficient agricultural water management, crop modelling, and irrigation scheduling. In recent years, the data-driven models using Artificial Intelligence (AI)-based met
   
     
 
       

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