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
Parents
33
Stephen P. Hesler, Shinyoung Park, Todd Adams et al. · Entomologia Experimentalis et Applicata · 2015 · 67 citations
Stefano Demichelis, Aulo Manino, G. Minuto et al. · Institutional Research Information System University of Turin (University of Turin) · 2014 · 58 citations · Full text
Life Sciences, Biology, Zoology +10
T. G. Gray, Keith N. Slessor, R. F. Shepherd et al. · The Canadian Entomologist · 1984 · 56 citations
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University of California, Riverside
Riverside, United States
5 h-index
14 publications
319 citations
Canadian Forest Service
Ottawa, Canada
3 h-index
7 publications
325 citations

Agricultural Research Service
Washington, United States
2 h-index
3 publications
168 citations

Agricultural Research Organization
Rishon LeZiyyon, Israel
2 h-index
6 publications
228 citations

University of Greenwich
London, United Kingdom
2 h-index
5 publications
56 citations
Simon Fraser University
Burnaby, Canada
2 h-index
2 publications
74 citations
New South Wales Department of Primary Industries
Orange, Australia
2 h-index
3 publications
51 citations

Plant & Food Research
Auckland, New Zealand
2 h-index
7 publications
254 citations
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4 publications · 155 citations
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3 publications · 82 citations
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2 publications · 73 citations
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2 publications · 43 citations
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2 publications · 74 citations
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