Artificial intelligence applied to the automated detection and identification of Devonian miospores

Lokteva, Vitalina; Serobyan, Vahram; Tetard, Martin; Breuer, Pierre; Danelian, Taniel

doi:10.5194/jm-45-405-2026

Articles | Volume 45, issue 1

https://doi.org/10.5194/jm-45-405-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/jm-45-405-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 45, issue 1

Research article

|

19 May 2026

Research article |

| 19 May 2026

Artificial intelligence applied to the automated detection and identification of Devonian miospores

Vitalina Lokteva, Vahram Serobyan, Martin Tetard, Pierre Breuer, and Taniel Danelian

Data sets

Artificial Intelligence applied to the automatic detection and identification of three Devonian miospores V. Lokteva et al. https://doi.org/10.5281/zenodo.18032045

Model code and software

Artificial Intelligence applied to the automatic detection and identification of three Devonian miospores V. Lokteva et al. https://doi.org/10.5281/zenodo.18032045

Short summary

This study develops a semi-automated workflow using artificial intelligence to detect and classify Devonian miospores in microscopic slides. Focusing on three biostratigraphically important species used for dating rocks and correlating distant localities, the method achieved high accuracy, reduced observer bias, and accelerated analysis. This workflow offers a scalable tool for research and potential industrial applications in fossil-based stratigraphy.