Pest Segmentation

Pest Segmentation is a computational method in agricultural image analysis that identifies and delineates individual pests from background elements in visual data to enable precise detection and monitoring within crop environments.

38

Publications

2.2K

Citations

136

Authors

49

Institutions

Publications per year

2017–2026

29

Authors

136

  1. XC
    Xi Cheng

    Nanjing University of Science and Technology, China

    3 publications · 475 citations

    3

    h-index

  2. YC
    Yiqiong Chen

    Fuzhou University, China

    2 publications · 436 citations

    2

    h-index

  3. YL
    Yanfen Li

    Sejong University, South Korea

    2 publications · 271 citations

    2

    h-index

  4. CX
    Chunlei Xia

    Yantai Institute of Coastal Zone Research, China

    2 publications · 92 citations

    2

    h-index

  5. YZ
    Youhua Zhang

    Anhui Agricultural University, China

    2 publications · 417 citations

    2

    h-index

1–5 of 136

Venues

  1. Computers and Electronics in Agriculture

    8 publications · 1.2K citations

    8

    h-index

  2. Agronomy

    2 publications · 71 citations

    2

    h-index

  3. IEEE Access

    2 publications · 76 citations

    2

    h-index

  4. Sustainable Computing Informatics and Systems

    2 publications · 98 citations

    2

    h-index

  5. 1

    h-index

1–5