Instance Segmentation Of Plants

Instance Segmentation of Plants is a computer vision task that belongs to the class of image segmentation methods, specifically distinguished by its ability to identify and delineate each individual plant instance in an agricultural scene at the pixel level, differentiating between overlapping or adjacent plants of the same species.

83

Publications

5.1K

Citations

326

Authors

149

Institutions

Publications per year

2017–2026

76

Authors

326

  1. LZ
    Lihua Zheng

    China Agricultural University, China

    3 publications · 92 citations

    3

    h-index

  2. MW
    Minjuan Wang

    China Agricultural University, China

    3 publications · 92 citations

    3

    h-index

  3. CS
    Cyrill Stachniss

    University of Bonn, Germany

    3 publications · 122 citations

    3

    h-index

  4. JB
    Jens Behley

    University of Bonn, Germany

    3 publications · 122 citations

    3

    h-index

  5. LG
    Liwen Gao

    Guangzhou University of Chinese Medicine, China

    2 publications · 99 citations

    2

    h-index

1–5 of 326

Venues

  1. Computers and Electronics in Agriculture

    26 publications · 2.2K citations

    21

    h-index

  2. Biosystems Engineering

    5 publications · 404 citations

    5

    h-index

  3. IEEE Robotics and Automation Letters

    3 publications · 206 citations

    3

    h-index

  4. Frontiers in Plant Science

    3 publications · 119 citations

    3

    h-index

  5. Scientia Horticulturae

    2 publications · 62 citations

    2

    h-index

1–5