S. Abiola

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

The use of ML algorithms to combine multi-source data, including remote sensing, climate, and management data, enables accurate winter wheat yield prediction within the in-season N application window in Oklahoma, providing a valuable tool for N management decisions that support better crop productivity and improved N u...