Lure Optimization

Lure Optimization is a methodological framework in postharvest entomology that systematically enhances the efficacy of attractants used in monitoring or controlling insect pests by refining chemical composition, release rate, and deployment strategies to maximize target specificity and detection sensitivity.

33

Publications

1K

Citations

158

Authors

68

Institutions

Publications per year

2017–2026

6

Publications

33

1–5 of 33

Authors

158

  1. JG
    Jocelyn G. Millar

    University of California, Riverside, United States

    5 publications · 119 citations

    5

    h-index

  2. GG
    G. G. Grant

    Canadian Forest Service, Canada

    3 publications · 109 citations

    3

    h-index

  3. JV
    József Vuts

    Plant Protection Institute, Hungary

    2 publications · 31 citations

    2

    h-index

  4. YZ
    Yunfan Zou

    University of California, Riverside, United States

    2 publications · 39 citations

    2

    h-index

  5. KN
    Keith N. Slessor

    Simon Fraser University, Canada

    2 publications · 74 citations

    2

    h-index

1–5 of 158

Venues

  1. Entomologia Experimentalis et Applicata

    4 publications · 155 citations

    4

    h-index

  2. Journal of Economic Entomology

    3 publications · 82 citations

    3

    h-index

  3. Journal of Pest Science

    2 publications · 73 citations

    2

    h-index

  4. Journal of Stored Products Research

    2 publications · 43 citations

    2

    h-index

  5. The Canadian Entomologist

    2 publications · 74 citations

    2

    h-index

1–5