Rust Disease Forecasting

Rust Disease Forecasting is a predictive modeling framework within plant pathology that specifically identifies the likelihood, timing, and severity of rust disease outbreaks in host crops through the integration of environmental, epidemiological, and pathogen surveillance data.

91

Publications

3.6K

Citations

332

Authors

170

Institutions

Publications per year

2017–2026

28

Authors

332

  1. LK
    Louis Kouadio

    University of Southern Queensland, Australia

    4 publications · 155 citations

    4

    h-index

  2. SA
    Scott A. Isard

    University of Illinois Urbana-Champaign, United States

    4 publications · 180 citations

    4

    h-index

  3. SM
    Stella Melugin Coakley

    Oregon State University, United States

    4 publications · 153 citations

    4

    h-index

  4. ME
    Moussa El Jarroudi

    University of Liège, Belgium

    4 publications · 155 citations

    4

    h-index

  5. EM
    Emerson M. Del Ponte

    Universidade Federal de Viçosa, Brazil

    3 publications · 221 citations

    3

    h-index

1–5 of 332

Venues

  1. Phytopathology

    15 publications · 778 citations

    14

    h-index

  2. Plant Disease

    8 publications · 474 citations

    8

    h-index

  3. International Journal of Biometeorology

    2 publications · 45 citations

    3

    h-index

  4. Agricultural Systems

    3 publications · 96 citations

    3

    h-index

  5. 2

    h-index

1–5