Automated Image-based Monitoring

Automated Image-Based Monitoring is a method within the field of insect monitoring that employs digital imaging technologies and computational algorithms to systematically detect, identify, and quantify insect populations with minimal human intervention.

38

Publications

1.7K

Citations

198

Authors

106

Institutions

Publications per year

2017–2026

21

Authors

198

  1. RF
    Roberto Fernández Martínez

    University of the Basque Country, Spain

    2 publications · 44 citations

    2

    h-index

  2. EI
    Eugenio Ivorra

    Universitat Politècnica de València, Spain

    2 publications · 44 citations

    2

    h-index

  3. DJ
    Dan Jeric Arcega Rustia

    National Taiwan University, Taiwan

    2 publications · 201 citations

    2

    h-index

  4. TL
    Ta‐Te Lin

    National Taiwan University, Taiwan

    2 publications · 201 citations

    2

    h-index

  5. QG
    Quentin Geissmann

    Imperial College London, United Kingdom

    2 publications · 69 citations

    2

    h-index

1–5 of 198

Venues

  1. Computers and Electronics in Agriculture

    4 publications · 192 citations

    4

    h-index

  2. Scientific Reports

    3 publications · 69 citations

    3

    h-index

  3. Pest Management Science

    2 publications · 98 citations

    2

    h-index

  4. Methods in Ecology and Evolution

    3 publications · 107 citations

    2

    h-index

  5. Biosystems Engineering

    1 publications · 52 citations

    1

    h-index

1–5