A review of the Artificial Intelligence (AI) based techniques for estimating reference evapotranspiration: Current trends and future perspectives

Author:

Goyal Pooja,Kumar Sunil,Sharda Rakesh

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference283 articles.

1. Estimating daily evaporation in syrian coast using gene expression programming and adaptive neuro-fuzzy inference system;Abbas;J. Eng. Comput. Sci.,2020

2. Reference evapotranspiration estimation in hyper-arid regions via D-vine copula based-quantile regression and comparison with empirical approaches and machine learning models;Abdallah;J. Hydrol. Reg. Stud.,2022

3. Neural computing modeling of the reference crop evapotranspiration;Adeloye;Environ. Model. & Softw.,2012

4. Reference evapotranspiration modeling using new heuristic methods;Adnan;Entropy,2020

5. Prediction of potential evapotranspiration using temperature-based heuristic approaches;Adnan;Sustainability,2020

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