An improved understanding of pest population dynamics is critical for more informed and effective management of agricultural pests. A Digital Twin (DT) that spatially visualises pest population dynamic modelling and monitoring, has great potential for facilitating effective and collaborative pest management. We have developed a proofof-concept DT of agricultural pest monitoring that provides dynamic and real-time estimates of pest population throughout an agricultural landscape, while accounting for weather, landuse and pest control methods being applied. This proof-ofconcept DT demonstrates both the viability and suitability of the DT framework for agricultural pest monitoring and management; it also showcases the potential of DTs as valuable decision-support tools in the agricultural landscape.