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.

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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
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article

A Digital Twin for Pest Population Monitoring

Hazel Parry, Sandeep Dhakal
Insect and Arachnid Ecology and Behavior
article

A Digital Twin for Pest Population Monitoring

Hazel Parry, Sandeep Dhakal
article en

Abstract

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.

Commonwealth Scientific and Industrial Research Organisation (AU)
Zero hunger
Openalex Percentile: Top 72%
Insect and Arachnid Ecology and Behavior
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