Pruning Sensor Systems

Pruning Sensor Systems is a technical framework that integrates sensor technologies and data-processing algorithms to autonomously detect, evaluate, and guide the precise removal of plant parts in agricultural automation, distinguishing itself by enabling real-time, site-specific pruning decisions in mechanized systems.

4

Publications

115

Citations

17

Authors

8

Institutions

Publications per year

2017–2026

3

Authors

17

  1. YX
    Yi Xie

    Huaqiao University, China

    1 publications · 23 citations

    1

    h-index

  2. TB
    Techane Bosona

    Swedish University of Agricultural Sciences, Sweden

    1 publications · 27 citations

    1

    h-index

  3. GG
    Girma Gebresenbet

    Swedish University of Agricultural Sciences, Sweden

    1 publications · 27 citations

    1

    h-index

  4. JM
    Javier Molina

    Ritsumeikan University, Japan

    1 publications · 15 citations

    1

    h-index

  5. JP
    Johnny Park

    Purdue University West Lafayette, United States

    1 publications · 50 citations

    1

    h-index

1–5 of 17

Venues

  1. Applied Sciences

    1 publications · 27 citations

    1

    h-index

  2. Pattern Recognition

    1 publications · 23 citations

    1

    h-index

  3. Robotics and Biomimetics

    1 publications · 15 citations

    1

    h-index

  4. Journal of Field Robotics

    JFR · 1 publications · 50 citations

    1

    h-index

  5. Measurement

    1 publications · 17 citations

1–5