3D Crop Sensing

3D Crop Sensing is a computational perception method that captures and reconstructs the spatial structure of crops in three dimensions using depth-aware imaging technologies to enable precise robotic harvesting operations.

27

Publications

1.6K

Citations

127

Authors

41

Institutions

Publications per year

2017–2026

19

Authors

127

  1. MK
    Manoj Karkee

    Washington State University, United States

    3 publications · 268 citations

    3

    h-index

  2. QZ
    Qin Zhang

    Washington State University, United States

    3 publications · 268 citations

    3

    h-index

  3. ÁR
    Ángela Ribeiro

    Centre for Automation and Robotics, Spain

    2 publications · 116 citations

    2

    h-index

  4. JA
    Jaume Arnó

    Universitat de Lleida, Spain

    2 publications · 83 citations

    2

    h-index

  5. EG
    Eduard Gregorio

    Universitat de Lleida, Spain

    2 publications · 83 citations

    2

    h-index

1–5 of 127

Venues

  1. Computers and Electronics in Agriculture

    5 publications · 510 citations

    5

    h-index

  2. Biosystems Engineering

    3 publications · 273 citations

    3

    h-index

  3. Frontiers in Plant Science

    2 publications · 142 citations

    2

    h-index

  4. IFAC-PapersOnLine

    2 publications · 33 citations

    2

    h-index

  5. Sensors

    2 publications · 58 citations

    2

    h-index

1–5