Pest Monitoring Models

Pest Monitoring Models is a computational or statistical framework designed to systematically observe and predict pest populations and their dynamics in agricultural or ecological systems by integrating environmental, biological, and spatiotemporal data.

148

Publications

4.7K

Citations

651

Authors

242

Institutions

Publications per year

2017–2026

47

Authors

651

  1. JF
    Jay F. Brunner

    Washington State University, United States

    3 publications · 126 citations

    3

    h-index

  2. VP
    Vincent P. Jones

    Washington State University, United States

    3 publications · 126 citations

    3

    h-index

  3. DS
    D. Sudharsan

    Indian Institute of Technology Bombay, India

    2 publications · 22 citations

    2

    h-index

  4. AK
    Amiya Kumar Tripathy

    Indian Institute of Technology Bombay, India

    2 publications · 22 citations

    2

    h-index

  5. AP
    Andrew Paul Gutierrez

    University of California, Berkeley, United States

    2 publications · 21 citations

    2

    h-index

1–5 of 651

Venues

  1. Environmental Entomology

    17 publications · 727 citations

    14

    h-index

  2. Journal of Economic Entomology

    12 publications · 381 citations

    12

    h-index

  3. Journal of Applied Entomology

    6 publications · 227 citations

    6

    h-index

  4. Ecological Informatics

    5 publications · 104 citations

    5

    h-index

  5. Frontiers in Plant Science

    4 publications · 138 citations

    4

    h-index

1–5