DefinePK

Abstract

The Internet of Things (IoT) is revolutionizing the agricultural sector by enabling advanced monitoring solutions that enhance productivity and sustainability. This study addresses the critical challenge of pest and disease detection in wheat farms, with a precise focus on the resource-constrained environments. We proposed a novel Smart Agriculture Monitoring Framework (SAMF) by utilizing the Routing Protocol for Low-Power and Lossy Networks (RPL) to ensure robust and efficient communication. The performance of the proposed SAMF-RPL framework is rigorously evaluated through simulations in the Contiki OS-based Cooja simulator. For a comprehensive analysis, its performance is benchmarked against an alternative framework based on Long-Range (LoRA) technology, termed SAMF-LoRA. The performance is comprehensively compared with multiple Key performance metrics, including Packet Delivery Ratio (PDR), end-to-end delay, and network power consumption. The simulation results demonstrate the significant superiority of the proposed SAMF-RPL framework. It achieves a substantially higher PDR, lower end-to-end delay, and significantly reduced power consumption compared to the SAMF-LoRA benchmark. These findings conclusively validate the efficacy of the RPL-based design, establishing SAMF-RPL as an ideal and efficient solution for automated pest detection in low-power and lossy agricultural networks.