Hybrid modeling for grassland productivity prediction:A parametric and machine learning technique for grazing management with applicability to digital twin decision systems.
ABSTRACT.- CONTEXT:Monitoring Aboveground Net Primary Production (ANPP) is critical to assess not only the current ecosystem status but also its long-term dynamics. In rangelands, the seasonal dynamics of ANPP determines forage availability, stock density, and livestock productivity. OBJECTIVE:To develop a hybrid model to be used as a prediction engine for ANPP in the native grasslands of Uruguay.