Automatic Data Logging

Automatic Data Logging is a methodological construct in aquaculture monitoring that enables the systematic, unsupervised collection and recording of environmental and operational data at predetermined intervals using electronically integrated sensors and data acquisition systems.

111

Publications

3.8K

Citations

378

Authors

167

Institutions

Publications per year

2017–2026

22

Authors

378

  1. AD
    Andrew D. Wickert

    University of Minnesota, United States

    3 publications · 101 citations

    3

    h-index

  2. GH
    G. H. C. Ng

    University of Minnesota, United States

    2 publications · 66 citations

    2

    h-index

  3. CT
    Chad T. Sandell

    Saint Anthony College of Nursing, United States

    2 publications · 66 citations

    2

    h-index

  4. RJ
    Robert Jordan

    Siga Technologies (United States), United States

    2 publications · 99 citations

    2

    h-index

  5. BS
    Bobby Schulz

    University of Minnesota, United States

    2 publications · 66 citations

    2

    h-index

1–5 of 378

Venues

  1. Geotechnical Testing Journal

    3 publications · 75 citations

    3

    h-index

  2. Review of Scientific Instruments

    2 publications · 35 citations

    2

    h-index

  3. 2

    h-index

  4. Journal of Medical Entomology

    2 publications · 99 citations

    2

    h-index

  5. Journal of Apicultural Research

    2 publications · 44 citations

    2

    h-index

1–5