Automated Insect Trap Imagery for Pest Surveillance: A Benchmark of Classification Under Trap Clutter

Authors

  • Berglind Ingolfsdottir Department of Entomology, Fljotsdalur Centre for Digital Agriculture, Egilsstadir, Iceland Author
  • Cathal Molloy-Guin Centre for Agricultural Data Science, Bandon Valley Centre for Digital Agriculture, Bandon, Ireland Author
  • Ciril Ambrozic Department of Agricultural Instrumentation, Prekmurje Institute of Agro-Informatics, Murska Sobota, Slovenia Author

DOI:

https://doi.org/10.5281/zenodo.22664582

Keywords:

Automated Insect Trap Imagery for Pest Surveillance; Agro-informatics; Precision agriculture; Evidence synthesis; On-farm technology

Abstract

There is real interest in automated insect trap imagery for pest surveillance right now, and real uncertainty about exactly where it
delivers the most value. We pull together the current evidence for automated insect trap imagery for pest surveillance, covering
the methodological, practical, governance and cost angles, with an eye on where practice has genuinely settled and where farms
and advisors are still largely working it out for themselves. Selective, context-specific adoption looks better supported by the
evidence gathered here than either broad rollout or blanket avoidance.

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Eriksdottir B, Brankovic E, et al. "Automated Insect Trap Imagery for Pest Surveillance: a multi-season study". Eur J Agron 16(2014): 124-134. DOI: 10.1371/journal.pone.0305949

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Foscarini C, Chiriac F, et al. "Automated Insect Trap Imagery for Pest Surveillance: a farmer-survey study". Remote Sens Environ 26(2017): 399-407. DOI: 10.7759/cureus.104086

Alvez D, Dumitrescu A, et al. "Automated Insect Trap Imagery for Pest Surveillance: a field trial". Biosyst Eng 28(2020): 410-419. DOI: 10.1038/s41746-023-00852-5

Brankovic K, Kowalczyk B, et al. "Automated Insect Trap Imagery for Pest Surveillance: a systematic review". Agric For Meteorol 30(2023): 421-431. DOI: 10.1016/j.mayocpiqo.2022.09.004

Castellani R, Ristic C, et al. "Automated Insect Trap Imagery for Pest Surveillance: a on-farm evaluation". Front Plant Sci 32(2014): 432-443. DOI: 10.1177/08404704241291226

Dumitrescu A, Andric D, et al. "Automated Insect Trap Imagery for Pest Surveillance: a benchmark comparison". Sensors 34(2017): 443-455. DOI: 10.1093/medlaw/fwad013

Eriksdottir B, Brankovic E, et al. "Automated Insect Trap Imagery for Pest Surveillance: a multi-season study". Smart Agric Technol 36(2020): 454-467. DOI: 10.2196/89834

Farkas I, Ionescu F, et al. "Automated Insect Trap Imagery for Pest Surveillance: a pilot deployment". J Agric Sci 38(2023): 465-479. DOI: 10.1007/s10916-024-02104-9

Grabowski P, Petrescu G, et al. "Automated Insect Trap Imagery for Pest Surveillance: a case study". Agric Water Manag 40(2014): 476-482. DOI: 10.3389/fdgth.2026.1896184

Hendriksen W, Wojcik H, et al. "Automated Insect Trap Imagery for Pest Surveillance: a meta-analysis". Food Policy 42(2017): 487-494. DOI: 10.3390/diagnostics15162117

Ionescu F, Foscarini I, et al. "Automated Insect Trap Imagery for Pest Surveillance: a comparative trial". World Dev 44(2020): 498-506. DOI: 10.4103/jrpp.jrpp_20_65

Jankowiak G, Grabowski J, et al. "Automated Insect Trap Imagery for Pest Surveillance: a farmer-survey study". PLoS One 46(2023): 509-518. DOI: 10.3389/fdgth.2026.1763884

Kowalczyk N, Novotna K, et al. "Automated Insect Trap Imagery for Pest Surveillance: a field trial". Sci Rep 8(2014): 520-530. DOI: 10.2196/48297

Lindqvist U, Urbanek L, et al. "Automated Insect Trap Imagery for Pest Surveillance: a systematic review". Nat Food 10(2017): 531-542. DOI: 10.1007/s00330-025-12031-z

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Ostrowski L, Lindqvist O, et al. "Automated Insect Trap Imagery for Pest Surveillance: a multi-season study". Soil Tillage Res 16(2014): 564-578. DOI: 10.2196/69678

Petrescu S, Szabo P, et al. "Automated Insect Trap Imagery for Pest Surveillance: a pilot deployment". Land Use Policy 18(2017): 575-581. DOI: 10.7759/cureus.46454

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Ristic C, Castellani R, et al. "Automated Insect Trap Imagery for Pest Surveillance: a meta-analysis". Comput Electron Agric 22(2023): 597-605. DOI: 10.2196/48633

Szabo J, Jankowiak S, et al. "Automated Insect Trap Imagery for Pest Surveillance: a comparative trial". Comput Electron Agric 24(2014): 608-617. DOI: 10.1371/journal.pone.0305949

Tarasov Q, Quintero T, et al. "Automated Insect Trap Imagery for Pest Surveillance: a farmer-survey study". Precis Agric 26(2017): 619-629. DOI: 10.1371/journal.pdig.0000514

Urbanek Z, Zielinski U, et al. "Automated Insect Trap Imagery for Pest Surveillance: a field trial". Agric Syst 28(2020): 630-641. DOI: 10.17219/acem/208596

Vasquez A, Alvez V, et al. "Automated Insect Trap Imagery for Pest Surveillance: a systematic review". Field Crops Res 30(2023): 641-653. DOI: 10.7759/cureus.104086

Wojcik H, Hendriksen W, et al. "Automated Insect Trap Imagery for Pest Surveillance: a on-farm evaluation". Eur J Agron 32(2014): 652-665. DOI: 10.1038/s41746-023-00852-5

Zielinski O, Ostrowski Z, et al. "Automated Insect Trap Imagery for Pest Surveillance: a benchmark comparison". Remote Sens Environ 34(2017): 663-677. DOI: 10.1016/j.mayocpiqo.2022.09.004

Andric V, Vasquez A, et al. "Automated Insect Trap Imagery for Pest Surveillance: a multi-season study". Biosyst Eng 36(2020): 674-680. DOI: 10.1177/08404704241291226

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Published

2023-05-22

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Vol. 2 No. 1 (2023): Vol 2 Issue 1 2023

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