Threshold-based Forecasting

Threshold-Based Forecasting is a predictive methodology in pest forecasting that belongs to the class of decision-trigger models, distinguished by its reliance on predetermined biological or environmental thresholds to initiate or forecast pest outbreaks.

5

Publications

131

Citations

11

Authors

8

Institutions

Publications per year

2017–2026

0

Authors

11

  1. KT
    Keon Tae Sohn

    Pusan National University, South Korea

    1 publications · 13 citations

    1

    h-index

  2. NS
    Nazarii Salish

    Universidad Carlos III de Madrid, Spain

    1 publications · 58 citations

    1

    h-index

  3. GK
    George Kapetanios

    Queen Mary University of London, United Kingdom

    1 publications · 21 citations

    1

    h-index

  4. BD
    Bernard De Baets

    Ghent University, Belgium

    1 publications · 25 citations

    1

    h-index

  5. GH
    Geert Haesaert

    Ghent University, Belgium

    1 publications · 25 citations

    1

    h-index

1–5 of 11

Venues

  1. Advances in Data Analysis and Classification

    1 publications · 58 citations

    1

    h-index

  2. Advances in Atmospheric Sciences

    1 publications · 13 citations

    1

    h-index

  3. Empirical Economics

    1 publications · 21 citations

    1

    h-index

  4. Plant Pathology

    1 publications · 25 citations

    1

    h-index

  5. Journal of Time Series Analysis

    1 publications · 14 citations

    1

    h-index

1–5