The IoT-enabled smart pest control system for improved crop protection seeks to improve agricultural sustainability by utilizing Internet of Things (IoT) technologies for improved pest control. This research presents a novel method for leveraging IoT sensors and data analytics to identify and decrease insect infestation in real time. By incorporating superior sensing technologies coupled with predictive analysis, the system provides effective pest detection and control reducing crop losses and resource wastage. This work proposes and tests two simulation models while assessing the effectiveness of controlling pest populations with them comprehensively. Findings show enhanced effectiveness of detecting pests and undertaking appropriate intervention measures proving the effectiveness of the proposed system in improving crop protection measures. This paper adds to the development of the continuous field of precision farming (PF) by proving that IoT solutions can reduce agricultural risks and enhance productivity.