Innovative approach for predicting daily reference evapotranspiration using improved shallow and deep learning models in a coastal region: A comparative study-Reference-Cited by-同舟云学术

Innovative approach for predicting daily reference evapotranspiration using improved shallow and deep learning models in a coastal region: A comparative study

Published:2024-03 Issue: Volume:354 Page:120246
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Elzain Hussam Eldin,Abdalla Osman A.^ORCID,Abdallah Mohammed^ORCID,Al-Maktoumi Ali^ORCID,Eltayeb Mohamed,Abba Sani I.

Funder

Sultan Qaboos University

Publisher

Elsevier BV

Reference71 articles.

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3. A review of recent advances and future prospects in calculation of reference evapotranspiration in Bangladesh using soft computing models;Alam;J. Environ. Manag.,2024

4. Daily global solar radiation time series prediction using variational mode decomposition combined with multi-functional recurrent fuzzy neural network and quantile regression forests algorithm;Abdallah;Energy Rep.,2023

5. Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56;Allen;Fao,1998

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