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pith:2026:XCDNLU2REU7C6SEKBH7JNEHZF6
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PesTwin: a biology-informed Digital Twin for enabling precision farming

Alberto Maria Cattaneo, Andrea De Antoni, Andrea Pugliese, Ege Gezer, Giovanni Iacca, Giuseppe Sulis, Maria Vittoria Mancini, Matteo Rucco, Paola Draicchio

A digital twin uses agent-based rules to forecast pest infestations on crops from lab, weather, and field data.

arxiv:2603.12294 v2 · 2026-03-11 · q-bio.QM · cs.SE · q-bio.PE

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Claims

C1strongest claim

Through a flexible rule-based approach of the Agent-Based Modeling (ABM) paradigm, the framework supports the fine-tuning of the main ecological interactions of the pest with its crop host and the environment. Forecasting insect infestation in realistic scenarios, considering both spatial and temporal dimensions, is made possible by integrating heterogeneous data sources.

C2weakest assumption

That the rule-based agent-based model, when tuned with the integrated lab, weather, and GIS data, will produce forecasts that accurately reflect real-world pest dynamics and ecological interactions for the target species.

C3one line summary

PesTwin is a biology-informed digital twin that employs flexible rule-based agent-based modeling to simulate and forecast pest infestations by integrating laboratory, environmental, and spatial data, demonstrated on Drosophila suzukii.

References

17 extracted · 17 resolved · 0 Pith anchors

[1] Marco Barzman, Paolo B `arberi, A. Nicholas E. Birch, Piet Boonekamp, Silke Dachbrodt-Saaydeh, Benno Graf, Bernd Hommel, Jens Erik Jensen, Jozsef Kiss, Per Kudsk, Jay Ram Lamichhane, Antoine Mess´ean, 2015
[2] A novel rate model of temperature-dependent development for arthropods.Environmental Entomology, 28:22–29, 1999 1999
[3] A review of the invasion of drosophila suzukii in europe and a draft research agenda for integrated pest management.Bulletin of Insectology, 65:149–160, 2012 2012
[4] A dynamically structured matrix population model for insect life histories observed under variable environmental conditions.Scientific Reports, 12, 12 2022 2022
[5] Annual report 2022 - plant production and protection 2022

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First computed 2026-05-17T23:39:04.378886Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
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b886d5d351253e2f488a09fe9690f92fa54827983fb62adb0ca179a6a07cadf6

Aliases

arxiv: 2603.12294 · arxiv_version: 2603.12294v2 · doi: 10.48550/arxiv.2603.12294 · pith_short_12: XCDNLU2REU7C · pith_short_16: XCDNLU2REU7C6SEK · pith_short_8: XCDNLU2R
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Canonical record JSON
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