Field Coverage Path Planning

Field Coverage Path Planning is a computational method in robotics that determines an optimal and collision-free trajectory for a mobile agent to systematically traverse and operate over an entire designated agricultural field, distinguished by its focus on complete area coverage, efficiency in path execution, and adaptation to field-specific constraints such as obstacles and terrain variability.

59

Publications

2.7K

Citations

151

Authors

64

Institutions

Publications per year

2017–2026

37

Authors

151

  1. CA
    Claus Aage Grøn Sørensen

    Aarhus University, Denmark

    7 publications · 397 citations

    8

    h-index

  2. IA
    Ibrahim A. Hameed

    Norwegian University of Science and Technology, Norway

    6 publications · 489 citations

    6

    h-index

  3. DB
    Dionysis Bochtis

    Aarhus University, Denmark

    6 publications · 398 citations

    6

    h-index

  4. JV
    João Valente

    Wageningen University & Research, Netherlands

    4 publications · 207 citations

    4

    h-index

  5. AB
    Antonio Barrientos

    Universidad Politécnica de Madrid, Spain

    3 publications · 137 citations

    3

    h-index

1–5 of 151

Venues

  1. Journal of Field Robotics

    JFR · 5 publications · 550 citations

    5

    h-index

  2. Biosystems Engineering

    5 publications · 212 citations

    5

    h-index

  3. Computers and Electronics in Agriculture

    4 publications · 189 citations

    5

    h-index

  4. Agronomy

    3 publications · 58 citations

    3

    h-index

  5. Robotics and Autonomous Systems

    1 publications · 111 citations

    2

    h-index

1–5