Feeding Optimization

Feeding Optimization is a methodological framework in aquaculture automation that systematically enhances feed delivery efficiency by dynamically adjusting feeding schedules, quantities, and distribution patterns based on real-time biological, environmental, and operational data to maximize growth performance and minimize waste.

215

Publications

9.2K

Citations

812

Authors

306

Institutions

Publications per year

2017–2026

78

Authors

812

  1. DA
    D. Allen Davis

    Auburn University, United States

    5 publications · 215 citations

    5

    h-index

  2. RR
    Razamin Ramli

    Northern University of Malaysia, Malaysia

    3 publications · 67 citations

    3

    h-index

  3. MR
    Melanie Rhodes

    Auburn University, United States

    3 publications · 163 citations

    3

    h-index

  4. DL
    Daoliang Li

    China Agricultural University, China

    3 publications · 57 citations

    3

    h-index

  5. RA
    Rosshairy Abd Rahman

    Northern University of Malaysia, Malaysia

    3 publications · 67 citations

    3

    h-index

1–5 of 812

Venues

  1. Aquaculture

    59 publications · 3.3K citations

    36

    h-index

  2. Aquacultural Engineering

    8 publications · 441 citations

    8

    h-index

  3. Journal of the World Aquaculture Society

    7 publications · 198 citations

    7

    h-index

  4. Aquaculture Research

    6 publications · 181 citations

    6

    h-index

  5. Aquaculture Nutrition

    4 publications · 218 citations

    4

    h-index

1–5