Pest Forecasting Models

Pest Forecasting Models is a decision support methodology that employs predictive analytics and environmental data to estimate the likelihood, timing, and severity of pest outbreaks in agricultural systems, distinguishing it from general pest management approaches through its emphasis on temporal forecasting and risk assessment.

182

Publications

6K

Citations

681

Authors

268

Institutions

Publications per year

2017–2026

70

Authors

681

  1. HE
    Henri E. Z. Tonnang

    International Centre of Insect Physiology and Ecology, Kenya

    5 publications · 437 citations

    5

    h-index

  2. SS
    Sevgan Subramanian

    International Centre of Insect Physiology and Ecology, Kenya

    4 publications · 361 citations

    4

    h-index

  3. NC
    Norman C. Elliott

    Oklahoma State University, United States

    3 publications · 46 citations

    3

    h-index

  4. DR
    Dharavath Ramesh

    Indian Institute of Technology Dhanbad, India

    3 publications · 131 citations

    3

    h-index

  5. EK
    Emily Kimathi

    International Centre of Insect Physiology and Ecology, Kenya

    3 publications · 227 citations

    3

    h-index

1–5 of 681

Venues

  1. EPPO Bulletin

    12 publications · 173 citations

    10

    h-index

  2. Environmental Entomology

    9 publications · 245 citations

    9

    h-index

  3. Annals of Applied Biology

    6 publications · 139 citations

    6

    h-index

  4. Journal of Applied Entomology

    5 publications · 102 citations

    5

    h-index

  5. Crop Protection

    6 publications · 187 citations

    5

    h-index

1–5