Automatic Lameness Detection

Automatic Lameness Detection is a computational method that systematically identifies indicators of lameness in livestock through sensor-derived data and algorithmic analysis, distinguishing itself from manual or observational approaches by enabling continuous, objective, and real-time assessment within precision livestock farming systems.

104

Publications

4.9K

Citations

378

Authors

111

Institutions

Publications per year

2017–2026

60

Authors

378

  1. AV
    Annelies Van Nuffel

    Ghent University, Belgium

    11 publications · 575 citations

    11

    h-index

  2. DB
    Daniël Berckmans

    KU Leuven, Belgium

    10 publications · 966 citations

    10

    h-index

  3. SV
    Stéphanie Van Weyenberg

    Ghent University, Belgium

    8 publications · 302 citations

    8

    h-index

  4. CB
    Claudia Bahr

    KU Leuven, Belgium

    8 publications · 829 citations

    8

    h-index

  5. JV
    Jürgen Vangeyte

    Ghent University, Belgium

    7 publications · 274 citations

    7

    h-index

1–5 of 378

Venues

  1. Journal of Dairy Science

    JDS · 19 publications · 1.3K citations

    19

    h-index

  2. Computers and Electronics in Agriculture

    18 publications · 1K citations

    16

    h-index

  3. Biosystems Engineering

    7 publications · 615 citations

    7

    h-index

  4. animal

    6 publications · 198 citations

    6

    h-index

  5. Applied Animal Behaviour Science

    4 publications · 224 citations

    4

    h-index

1–5