Integration of MRMR algorithm with advanced neural networks for modeling long-term crop water demand in agricultural basins

Integration of MRMR algorithm with advanced neural networks for modeling long-term crop water demand in agricultural basins

Abstract Assessing actual evapotranspiration (AET) remains a key challenge in the design of efficient irrigation systems, strategies, and schedules. This complexity arises from the nonlinear nature of AET, which varies with crop type, growth stage, agroclimatic conditions, soil type, and irrigation...

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Bibliographic Details
Main Authors: Ahmed Elbeltagi, Abdullah A. Alsumaiei, Ali Raza, Mustafa Al-Mukhtar, Salim Heddam
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:Applied Water Science
Subjects:
Evapotranspiration
Irrigation management
Artificial neural network
Features selection
Machine learning
Online Access:https://doi.org/10.1007/s13201-025-02574-3
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https://doi.org/10.1007/s13201-025-02574-3

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