Image-based Larval Recognition
Image-Based Larval Recognition is a computational method that distinguishes individual larval species or developmental stages through the analysis of visual features extracted from digital images, differing from other larval identification techniques by relying exclusively on morphological patterns captured in imaging data rather than molecular, behavioral, or manual taxonomic examination.
13
Publications
336
Citations
76
Authors
31
Institutions
Publications per year
2017–2026
7
Parents
13
1–5 of 13
76
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31
Oregon State University
Corvallis, United States
1 h-index
3 publications
111 citations
CSIRO Land and Water
Canberra, Australia
1 h-index
3 publications
30 citations

Universidad Autónoma de Madrid
Madrid, Spain
1 h-index
3 publications
111 citations

Universidade Estadual do Oeste do Paraná
Cascavel, Brazil
1 h-index
2 publications
48 citations
Netherlands Institute of Ecology
Wageningen, Netherlands
1 h-index
3 publications
132 citations

Independent University, Bangladesh
Dhaka, Bangladesh
1 h-index
1 publications
24 citations

Instituto Politécnico Nacional
Mexico City, Mexico
1 h-index
5 publications
125 citations
Rajamangala University of Technology Srivijaya
Songkhla, Thailand
1 h-index
2 publications
64 citations
1–8 of 31
2 publications · 46 citations
2
h-index
2 publications · 41 citations
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JSR · 1 publications · 44 citations
1
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1 publications · 32 citations
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EES · 1 publications · 10 citations
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