Cluster Visibility Estimation

Cluster Visibility Estimation is a computational metric in precision agriculture that quantifies the proportion of grapevine or fruit clusters detectable in image-based crop load assessments, differentiating itself from general yield estimation methods by specifically addressing occlusion and canopy density effects on visual sensing accuracy.

7

Publications

418

Citations

20

Authors

12

Institutions

Publications per year

2017–2026

1

Authors

20

  1. YC
    Yung‐Yu Chuang

    National Taiwan University, Taiwan

    2 publications · 29 citations

    2

    h-index

  2. EI
    Eugenio Ivorra

    Universitat Politècnica de València, Spain

    1 publications · 57 citations

    1

    h-index

  3. YW
    Yuting Wu

    National Taiwan University, Taiwan

    1 publications · 19 citations

    1

    h-index

  4. MO
    Ming Ouhyoung

    National Taiwan University, Taiwan

    1 publications · 10 citations

    1

    h-index

  5. RX
    Rong Xiang

    China Jiliang University, China

    1 publications · 110 citations

    1

    h-index

1–5 of 20

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 19 citations

    1

    h-index

  2. Machine Vision and Applications

    1 publications · 17 citations

    1

    h-index

  3. Biosystems Engineering

    1 publications · 134 citations

    1

    h-index

  4. Computer Graphics Forum

    1 publications · 10 citations

    1

    h-index

  5. 1

    h-index

1–5