Intelligent optimization of Reference Evapotranspiration (ETo) for precision irrigation

Author:

Bashir Rab Nawaz,Khan Faizan Ahmed,Khan Arfat Ahmad,Tausif Muhammad,Abbas Muhammad Zahid,Shahid Malik Muhammad Ali,Khan Nasrullah

Publisher

Elsevier BV

Subject

Modeling and Simulation,General Computer Science,Theoretical Computer Science

Reference40 articles.

1. Short- and mid-term forecasts of actual evapotranspiration with deep learning;Babaeian;J. Hydrol.,2022

2. Improved weighted ensemble learning for predicting the daily reference evapotranspiration under the semi-arid climate conditions;El-kenawy;Environ. Sci. Pollut. Res.,2022

3. Predicting daily reference evapotranspiration rates in a humid region, comparison of seven various data-based predictor models;Aghelpour;Stoch. Environ. Res. Risk Assess.,2022

4. N.L. Kushwaha, J. Rajput, D.R. Sena, A. Elbeltagi, D.K. Singh, I. Mani, long short-term memory (LSTM) with grey wolf optimization (GWO), https://doi.org/10.1080/07055900.2022.2087589, 2022, doi: 10.1080/07055900.2022.2087589.

5. Remote sensing based evapotranspiration modeling for sugarcane in Brazil using a hybrid approach;Bispo;Agric. Water Manag.,2022

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