Multi-temporal Phenotyping

Multi-Temporal Phenotyping is a LiDAR-based phenotyping approach that integrates repeated three-dimensional structural measurements of plants across multiple time points to capture dynamic developmental traits and temporal variations in plant morphology.

12

Publications

955

Citations

62

Authors

31

Institutions

Publications per year

2017–2026

10

Authors

62

  1. FM
    Federico Magistri

    University of Bonn, Germany

    2 publications · 213 citations

    2

    h-index

  2. NC
    Nived Chebrolu

    University of Bonn, Germany

    2 publications · 213 citations

    2

    h-index

  3. CS
    Cyrill Stachniss

    University of Bonn, Germany

    2 publications · 213 citations

    2

    h-index

  4. YL
    Yumei Li

    Baylor College of Medicine, United States

    1 publications · 215 citations

    1

    h-index

  5. FB
    Frédéric Baret

    Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, France

    1 publications · 215 citations

    1

    h-index

1–5 of 62

Venues

  1. Journal of Biomedical Informatics

    3 publications · 149 citations

    4

    h-index

  2. PLoS ONE

    2 publications · 213 citations

    2

    h-index

  3. 1

    h-index

  4. BMC Plant Biology

    1 publications · 235 citations

    1

    h-index

  5. Computers and Electronics in Agriculture

    1 publications · 59 citations

    1

    h-index

1–5