Robotic Phenotyping

Robotic Phenotyping is a methodological framework within agricultural robotics that employs autonomous robotic systems to systematically observe, measure, and analyze morphological, physiological, and developmental traits of plants in controlled environments with high spatiotemporal resolution.

62

Publications

4.2K

Citations

301

Authors

105

Institutions

Publications per year

2017–2026

52

Authors

301

  1. LT
    Lie Tang

    Iowa State University, United States

    5 publications · 183 citations

    5

    h-index

  2. TP
    Tony Pridmore

    University of Nottingham, United Kingdom

    4 publications · 150 citations

    4

    h-index

  3. YB
    Yin Bao

    Iowa State University, United States

    4 publications · 144 citations

    4

    h-index

  4. DS
    Dylan Shah

    Yale University, United States

    4 publications · 72 citations

    4

    h-index

  5. CL
    Changying Li

    University of Georgia, United States

    3 publications · 177 citations

    3

    h-index

1–5 of 301

Venues

  1. Sensors

    5 publications · 316 citations

    5

    h-index

  2. IFAC-PapersOnLine

    4 publications · 110 citations

    4

    h-index

  3. Plant Methods

    4 publications · 218 citations

    4

    h-index

  4. Robotics

    3 publications · 166 citations

    3

    h-index

  5. IEEE Robotics and Automation Letters

    2 publications · 93 citations

    2

    h-index

1–5