Model-based Feeding

Model-Based Feeding is a nutrient feeding strategy that employs a formal computational or mathematical model to predict and optimize nutrient delivery based on dynamic physiological, environmental, or metabolic inputs, distinguishing it from empirical or rule-based approaches by its reliance on mechanistic or predictive system representations.

12

Publications

724

Citations

52

Authors

25

Institutions

Publications per year

2017–2026

3

Authors

52

  1. AK
    Ashok K. Srivastava

    Indian Institute of Technology Delhi, India

    2 publications · 64 citations

    2

    h-index

  2. SS
    Stanislav Sokolenko

    University of Waterloo, Canada

    1 publications · 25 citations

    1

    h-index

  3. CZ
    Chao Zhou

    National Engineering Research Center for Information Technology in Agriculture, China

    1 publications · 177 citations

    1

    h-index

  4. ES
    Edina Szabó

    Budapest University of Technology and Economics, Hungary

    1 publications · 79 citations

    1

    h-index

  5. EW
    E.C. Whittemore

    Scottish Agricultural Science Agency, United Kingdom

    1 publications · 22 citations

    1

    h-index

1–5 of 52

Venues

  1. Applied Biochemistry and Biotechnology

    ABAB · 2 publications · 64 citations

    2

    h-index

  2. Agricultural Systems

    1 publications · 59 citations

    1

    h-index

  3. Computers and Electronics in Agriculture

    1 publications · 177 citations

    1

    h-index

  4. Journal of Biotechnology

    1 publications · 25 citations

    1

    h-index

  5. Limnology and Oceanography

    1 publications · 152 citations

    1

    h-index

1–5