Crop Instance Segmentation

Crop Instance Segmentation is a computer vision task that belongs to the category of image segmentation methods, specifically distinguishing individual crop instances within an image by assigning unique labels to each pixel while differentiating between overlapping or adjacent plants of the same type.

106

Publications

5K

Citations

376

Authors

148

Institutions

Publications per year

2017–2026

100

Authors

376

  1. MK
    Manoj Karkee

    Washington State University, United States

    3 publications · 223 citations

    4

    h-index

  2. JW
    Jan Weyler

    University of Bonn, Germany

    2 publications · 80 citations

    3

    h-index

  3. RS
    Ranjan Sapkota

    Washington State University, United States

    2 publications · 198 citations

    3

    h-index

  4. JB
    Jens Behley

    University of Bonn, Germany

    2 publications · 80 citations

    3

    h-index

  5. CS
    Cyrill Stachniss

    University of Bonn, Germany

    2 publications · 80 citations

    3

    h-index

1–5 of 376

Venues

  1. Computers and Electronics in Agriculture

    27 publications · 1.8K citations

    25

    h-index

  2. Agriculture

    4 publications · 219 citations

    5

    h-index

  3. Frontiers in Plant Science

    3 publications · 94 citations

    5

    h-index

  4. Sensors

    5 publications · 220 citations

    5

    h-index

  5. Agronomy

    4 publications · 117 citations

    4

    h-index

1–5