A Digital Twin for Pest Population Monitoring
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 proof-of-concept DT of agricultural pest monitoring that provides dynamic and real-time estimates of pest population throughout an agricultural landscape, while accounting for weather, land-use and pest control methods being applied. This proof-of-concept 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.
Authors
- Hazel Parry (ORCID: https://orcid.org/0000-0002-6747-3182)
- Sandeep Dhakal (ORCID: https://orcid.org/0000-0001-7413-2530)
Institutions
- Commonwealth Scientific and Industrial Research Organisation (AU)
Publication Details
- Published
- 2024-12-02
- DOI
- https://doi.org/10.1109/swc62898.2024.00321
- Primary Topic
- Insect and Arachnid Ecology and Behavior
- Type
- article
- Field-Weighted Citation Impact
- 0.00