S. Effiom

Model-Based Design and Evaluation of a Multi-Variable Hybrid Predictive Control Loop for Precision Fertigation Using Multi-Sensor Data Fusion

This study proposes and evaluates an automated Multi-Variable Hybrid Predictive Control framework for precision fertigation that achieves a 25% reduction in water use and a 30% reduction in fertilizer consumption and provides an effective solution for improving resource-use efficiency while supporting environmentally s...