Frost Forecasting Models

Frost Forecasting Models is a systematic framework that employs meteorological data and predictive algorithms to estimate the likelihood, timing, and severity of frost events in agricultural or ecological settings, distinguishing it from general weather prediction models by its specificity to frost occurrence and impact mitigation.

35

Publications

1.4K

Citations

115

Authors

65

Institutions

Publications per year

2017–2026

20

Authors

115

  1. RM
    Raquel Martínez‐España

    Universidad Católica de Murcia, Spain

    3 publications · 73 citations

    3

    h-index

  2. MA
    Miguel A. Guillén‐Navarro

    Universidad Católica de Murcia, Spain

    3 publications · 73 citations

    3

    h-index

  3. ES
    Eugene S. Takle

    Iowa State University, United States

    3 publications · 71 citations

    3

    h-index

  4. LB
    Laiqa Binte Imran

    COMSATS University Islamabad, Pakistan

    2 publications · 48 citations

    2

    h-index

  5. LD
    Liya Ding

    Southeast University, China

    2 publications · 29 citations

    2

    h-index

1–5 of 115

Venues

  1. Meteorological Applications

    4 publications · 77 citations

    4

    h-index

  2. Computers and Electronics in Agriculture

    3 publications · 121 citations

    3

    h-index

  3. Journal of Applied Meteorology

    2 publications · 155 citations

    2

    h-index

  4. International Journal of Climatology

    2 publications · 27 citations

    2

    h-index

  5. Procedia Computer Science

    2 publications · 29 citations

    2

    h-index

1–5