Picking Point Localization

Picking Point Localization is a computational method in robotic harvesting that identifies the optimal contact position on a target fruit or vegetable for robotic grippers to initiate picking, distinguished from general object localization by its focus on harvest-specific criteria such as stalk orientation, maturity, and minimal plant damage.

81

Publications

3.9K

Citations

381

Authors

90

Institutions

Publications per year

2017–2026

70

Authors

381

  1. LF
    Longsheng Fu

    Northwest A&F University, China

    4 publications · 166 citations

    4

    h-index

  2. YT
    Yunchao Tang

    Zhongkai University of Agriculture and Engineering, China

    4 publications · 331 citations

    4

    h-index

  3. XZ
    Xiangjun Zou

    South China Agricultural University, China

    4 publications · 245 citations

    4

    h-index

  4. ZX
    Zilin Xia

    Jiangsu University, China

    3 publications · 102 citations

    3

    h-index

  5. JC
    Jiqing Chen

    Guangxi University, China

    2 publications · 197 citations

    2

    h-index

1–5 of 381

Venues

  1. Computers and Electronics in Agriculture

    19 publications · 1.2K citations

    17

    h-index

  2. Agronomy

    8 publications · 305 citations

    8

    h-index

  3. Biosystems Engineering

    5 publications · 463 citations

    5

    h-index

  4. Journal of Field Robotics

    JFR · 3 publications · 179 citations

    3

    h-index

  5. Sensors

    3 publications · 111 citations

    3

    h-index

1–5