From static grids to dynamic response models: predicting wheat phosphorus needs with Random Forest
Hamza Jouichat
IntroductionPhosphorus (P) fertilizer recommendations for wheat are still largely based on soil test P (STP) classes and fixed fertilization grids. While simple to apply, these approaches often fail to reflect field-level variability and the combined influence of soil and climate factors on crop response. As a result, recommendations can be inconsistent and poorly aligned with actual yield potential. This study explores whether a data-driven, multifactorial approach can better explain and predic