Phenotyping Sensor Fusion

Phenotyping Sensor Fusion is a methodological framework that integrates multisensory data from diverse phenotyping platforms to enhance the accuracy, resolution, and comprehensiveness of crop phenotypic trait measurement through complementary and synergistic information extraction.

7

Publications

770

Citations

49

Authors

22

Institutions

Publications per year

2017–2026

7

Authors

49

  1. JX
    Jian Xun Jin

    Tianjin University, China

    1 publications · 27 citations

    1

    h-index

  2. PH
    Peikui Huang

    Purdue University West Lafayette, United States

    1 publications · 27 citations

    1

    h-index

  3. MW
    Mingxing Wen

    National Institute of Agricultural Botany, United Kingdom

    1 publications · 49 citations

    1

    h-index

  4. WY
    Wenan Yuan

    Pennsylvania State University, United States

    1 publications · 124 citations

    1

    h-index

  5. SH
    Sean Hartling

    Saint Louis University, United States

    1 publications · 390 citations

    1

    h-index

1–5 of 49

Venues

  1. Sensors

    2 publications · 151 citations

    2

    h-index

  2. Frontiers in Plant Science

    1 publications · 22 citations

    1

    h-index

  3. Crop and Pasture Science

    1 publications · 47 citations

    1

    h-index

  4. PLANT PHYSIOLOGY

    1 publications · 49 citations

    1

    h-index

  5. 1

    h-index

1–5