We propose a sequential physics-embedded machine learning method to predict propagation over rural terrain. The training process uses artificial data computed by solving the parabolic wave equation. A fine-tuning strategy is also proposed, rendering the method versatile. Numerical simulations are provided to validate the proposed approach.