Image-based Pest Recognition

Image-Based Pest Recognition is a computational method within pest identification that leverages digital image analysis and machine learning techniques to automatically detect and classify pest species from visual data captured during field scouting.

367

Publications

19.3K

Citations

1.3K

Authors

464

Institutions

Publications per year

2017–2026

328

Authors

1.3K

  1. RW
    Rujing Wang

    Institute of Intelligent Machines, China

    10 publications · 905 citations

    10

    h-index

  2. CX
    Chengjun Xie

    Institute of Intelligent Machines, China

    9 publications · 1K citations

    9

    h-index

  3. SD
    Shifeng Dong

    Institute of Intelligent Machines, China

    6 publications · 475 citations

    6

    h-index

  4. LL
    Liu Liu

    Chinese Academy of Sciences, China

    5 publications · 607 citations

    5

    h-index

  5. WL
    Wenyong Li

    Fuyang Normal University, China

    5 publications · 258 citations

    5

    h-index

1–5 of 1.3K

Venues

  1. Computers and Electronics in Agriculture

    46 publications · 4.9K citations

    35

    h-index

  2. Frontiers in Plant Science

    23 publications · 1.4K citations

    19

    h-index

  3. IEEE Access

    13 publications · 1.2K citations

    14

    h-index

  4. Agriculture

    11 publications · 578 citations

    13

    h-index

  5. Agronomy

    7 publications · 265 citations

    10

    h-index

1–5