Livestock Data Analytics

Livestock Data Analytics is a computational methodology that distinguishes itself by systematically processing, interpreting, and deriving actionable insights from sensor-generated, animal-level data to optimize health, welfare, and production outcomes in precision livestock farming.

40

Publications

3.1K

Citations

214

Authors

115

Institutions

Publications per year

2017–2026

34

Authors

214

  1. SN
    Suresh Neethirajan

    University of Guelph, Canada

    3 publications · 631 citations

    3

    h-index

  2. AR
    Amine Roukh

    University of Mons, Belgium

    2 publications · 56 citations

    2

    h-index

  3. LF
    Liliana Fadul-Pacheco

    University of Wisconsin–Madison, United States

    2 publications · 70 citations

    2

    h-index

  4. VE
    Víctor E. Cabrera

    University of Wisconsin–Madison, United States

    2 publications · 70 citations

    2

    h-index

  5. SA
    Sidi Ahmed Mahmoudi

    University of Mons, Belgium

    2 publications · 56 citations

    2

    h-index

1–5 of 214

Venues

  1. Computers and Electronics in Agriculture

    3 publications · 428 citations

    3

    h-index

  2. Preventive Veterinary Medicine

    3 publications · 59 citations

    3

    h-index

  3. Journal of Animal Science

    3 publications · 306 citations

    3

    h-index

  4. Sensors

    2 publications · 44 citations

    2

    h-index

  5. Sensing and Bio-Sensing Research

    2 publications · 614 citations

    2

    h-index

1–5