Sensor-based Identification

Sensor-Based Identification is a methodological approach within animal identification that utilizes sensor technologies to automatically detect, capture, or monitor individual animal characteristics or behaviors, distinguishing it from visual or manual identification techniques by its reliance on electronic sensing devices such as RFID, accelerometers, or GPS trackers.

54

Publications

2K

Citations

216

Authors

91

Institutions

Publications per year

2017–2026

17

Authors

216

  1. AR
    Arun Ross

    Michigan State University, United States

    3 publications · 53 citations

    3

    h-index

  2. MD
    Mark D. Holton

    Swansea University, United Kingdom

    2 publications · 74 citations

    2

    h-index

  3. EF
    Elgar Fleisch

    University of St.Gallen, Switzerland

    2 publications · 26 citations

    2

    h-index

  4. KN
    Kay Noyen

    2 publications · 26 citations

    2

    h-index

  5. HA
    H. Aubert

    Laboratoire d'Analyse et d'Architecture des Systèmes, France

    2 publications · 35 citations

    2

    h-index

1–5 of 216

Venues

  1. 3

    h-index

  2. Computers and Electronics in Agriculture

    2 publications · 117 citations

    2

    h-index

  3. Control Engineering Practice

    2 publications · 46 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 26 citations

    2

    h-index

  5. Neural Computation

    1 publications · 40 citations

    1

    h-index

1–5