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This study investigates the use of Machine Learning regression algorithms to estimate the discharge coefficient for rectangular weirs with multiple circular slots, aiming to improve the efficiency of existing irrigation structures. Three models were developed: Decision Tree Regressor (DTR), Artificial Neural Networks (ANN), and Support Vector Machine Regressor (SVR), with ANNs showing the best performance based on correlation and error metrics. The research highlights the potential of AI in enhancing water

Author

Elsa Dwi Fadila

Language

EN