Image-based Insect Identification

Image-Based Insect Identification is a computational method in the field of insect pest surveillance that uses digital image analysis to recognize and classify insect species, distinguished from other methods by its reliance on visual data captured through imaging devices rather than manual examination or non-visual sensor inputs.

291

Publications

12.7K

Citations

959

Authors

356

Institutions

Publications per year

2017–2026

144

Authors

959

  1. TT
    Toke T. Høye

    Aarhus University, Denmark

    5 publications · 416 citations

    5

    h-index

  2. KB
    Kim Bjerge

    Aarhus University, Denmark

    5 publications · 318 citations

    5

    h-index

  3. TG
    Thomas G. Dietterich

    Oregon State University, United States

    5 publications · 240 citations

    5

    h-index

  4. VS
    Volker Steinhage

    University of Bonn, Germany

    4 publications · 214 citations

    4

    h-index

  5. DS
    Digvir S. Jayas

    University of Manitoba, Canada

    4 publications · 126 citations

    4

    h-index

1–5 of 959

Venues

  1. Computers and Electronics in Agriculture

    17 publications · 1.1K citations

    16

    h-index

  2. Ecological Informatics

    9 publications · 456 citations

    9

    h-index

  3. International Journal of Tropical Insect Science

    IJT · 7 publications · 724 citations

    7

    h-index

  4. Scientific Reports

    6 publications · 360 citations

    6

    h-index

  5. PLoS ONE

    6 publications · 293 citations

    6

    h-index

1–5