M. Maatougui

Wheat yield prediction using machine learning, proximal sensing, nitrogen and climate data for Oklahoma

Accurate in-season yield prediction is a practical prerequisite for informed nitrogen (N) management decisions in winter wheat production, yet no rigorous framework has been established and tested against the tools producers currently rely on. Our study developed and evaluated machine learning (ML) models for pre-appli...