Using machine learning method to forecast river water levels in the Bac Hung Hai irrigation system in Vietnam

This paper proposes a new approach using one of the applications of deep learning models to predict river water levels in irrigation systems. A predictive model has been developed based on the Long Short-Term Memory (LSTM) neural networks to forecast the water levels upstream of Tranh Culvert in the Bac Hung Hai irrigation system in Vietnam.