Grape Cluster Detection

Grape Cluster Detection is a computer vision task that identifies and localizes grape clusters in images captured within vineyard environments, distinguishing itself from general object detection by focusing specifically on the morphological and contextual characteristics of grape clusters for applications in precision viticulture and robotic harvesting.

56

Publications

3.5K

Citations

237

Authors

83

Institutions

Publications per year

2017–2026

40

Authors

237

  1. JT
    Javier Tardáguila

    Universidad de La Rioja, Spain

    7 publications · 466 citations

    7

    h-index

  2. LL
    Lufeng Luo

    Foshan University, China

    7 publications · 517 citations

    7

    h-index

  3. MP
    María P. Diago

    Universidad de La Rioja, Spain

    6 publications · 428 citations

    6

    h-index

  4. XZ
    Xiangjun Zou

    South China Agricultural University, China

    4 publications · 389 citations

    4

    h-index

  5. JW
    Jinhai Wang

    Foshan University, China

    3 publications · 100 citations

    3

    h-index

1–5 of 237

Venues

  1. Computers and Electronics in Agriculture

    15 publications · 1.1K citations

    14

    h-index

  2. Biosystems Engineering

    5 publications · 386 citations

    5

    h-index

  3. Sensors

    5 publications · 386 citations

    5

    h-index

  4. Electronics

    2 publications · 47 citations

    2

    h-index

  5. Agriculture

    2 publications · 104 citations

    2

    h-index

1–5