Identification of species by combining molecular and morphological data using convolutional neural networks

Ai-Bing Zhang, Bing Yang, Zhenxin Zhang, Cai-Qing Yang, Ying Wang, Michael C. Orr & Hongbin Wang
Integrative taxonomy is central to modern taxonomy and systematic biology, including behavior, niche preference, distribution, morphological analysis, and DNA barcoding. However, decades of use demonstrate that these methods can face challenges when used in isolation, for instance, potential misidentifications due to phenotypic plasticity for morphological methods, and incorrect identifications because of introgression, incomplete lineage sorting, and horizontal gene transfer for DNA barcoding. Although researchers have advocated the use of integrative taxonomy, few detailed algorithms have...
1 citation reported since publication in 2021.
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