Machine learning for expert‐level image‐based identification of very similar species in the hyperdiverse plant bug family Miridae (Hemiptera: Heteroptera)-Reference-Cited by-同舟云学术

Machine learning for expert‐level image‐based identification of very similar species in the hyperdiverse plant bug family Miridae (Hemiptera: Heteroptera)

Published:2022-03-17 Issue:3 Volume:47 Page:487-503
ISSN:0307-6970
Container-title:Systematic Entomology
language:en
Short-container-title:Systematic Entomology

Author:

Popkov Alexander¹,Konstantinov Fedor¹²^ORCID,Neimorovets Vladimir³,Solodovnikov Alexey¹⁴

Affiliation:

1. Zoological Institute Russian Academy of Sciences St. Petersburg Russia

2. Faculty of Biology St. Petersburg State University St. Petersburg Russia

3. All‐Russian Institute for Plant Protection Russian Academy of Sciences St. Petersburg Russia

4. Natural History Museum of Denmark University of Copenhagen Copenhagen Denmark

Funder

Russian Science Foundation

Publisher

Wiley

Subject

Insect Science,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/syen.12543

Reference62 articles.

1. Automatic identification for field butterflies by convolutional neural networks

2. Deep learning neural networks for acrylamide identification in potato chips using transfer learning approach

3. DNA barcodes for bio-surveillance: regulated and economically important arthropod plant pests

4. A Study on CNN-Based Detection of Psyllids in Sticky Traps Using Multiple Image Data Sources

5. Convolutional Neural Networks Using Enhanced Radiographs for Real-Time Detection of Sitophilus zeamais in Maize Grain

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