Automated Trap Detection

Automated Trap Detection is a computational method in insect pest surveillance that enables the autonomous identification and classification of captured pests in monitoring traps using image analysis, sensor data, or machine learning techniques.

35

Publications

1.9K

Citations

210

Authors

82

Institutions

Publications per year

2017–2026

25

Authors

210

  1. IP
    Ilyas Potamitis

    Hellenic Mediterranean University, Greece

    3 publications · 69 citations

    3

    h-index

  2. IR
    Iraklis Rigakis

    Hellenic Mediterranean University, Greece

    3 publications · 69 citations

    3

    h-index

  3. NT
    Nikolaos-Alexandros Tatlas

    Hellenic Mediterranean University, Greece

    2 publications · 48 citations

    2

    h-index

  4. KB
    Kim Bjerge

    Aarhus University, Denmark

    2 publications · 157 citations

    2

    h-index

  5. PA
    Panagiotis A. Eliopoulos

    Technological Educational Institute of Thessaly, Greece

    2 publications · 48 citations

    2

    h-index

1–5 of 210

Venues

  1. Computers and Electronics in Agriculture

    4 publications · 441 citations

    4

    h-index

  2. Sensors

    3 publications · 165 citations

    3

    h-index

  3. European Journal of Wildlife Research

    2 publications · 95 citations

    2

    h-index

  4. Ecological Informatics

    2 publications · 81 citations

    2

    h-index

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 38 citations

    2

    h-index

1–5