Trap Catch Forecasting
Trap Catch Forecasting is a predictive modeling approach within pest forecasting that estimates future pest population dynamics and infestation risks by analyzing temporal patterns and environmental correlates of pest captures in monitoring traps.
45
Publications
1.5K
Citations
115
Authors
68
Institutions
Publications per year
2017–2026
8
Parents
45
1–5 of 45
115
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68

The University of Queensland
Brisbane, Australia
3 h-index
5 publications
295 citations
Southern Research Station
Asheville, United States
2 h-index
3 publications
38 citations

Washington State University
Pullman, United States
2 h-index
6 publications
96 citations

Kyoto University
Kyoto, Japan
2 h-index
4 publications
58 citations
Experimental Station
Chicago, United States
2 h-index
3 publications
219 citations

Aberystwyth University
Aberystwyth, United Kingdom
2 h-index
2 publications
29 citations
Indian Agricultural Research Institute
New Delhi, India
2 h-index
5 publications
106 citations

The University of Adelaide
Adelaide, Australia
2 h-index
3 publications
92 citations
1–8 of 68
4 publications · 145 citations
4
h-index
4 publications · 73 citations
4
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4 publications · 94 citations
4
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4 publications · 53 citations
4
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3 publications · 164 citations
3
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1–5