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Wild Lands / Ecological Intelligence

Small-mammal footprint AI is promising, not yet field-proven

A trackplate classifier reported 89% grouped-validation accuracy on southern African mammals.

Evidence
Peer-reviewed early-release methods
Geography
Five sites, southern Africa
System
Small-mammal footprints and automated monitoring

WHAT THE EVIDENCE SAYS

A vision model trained on 3,355 images from 122 trackplates for 11 species averaged 89.2% accuracy with five-fold cross-validation grouped by trackplate.

WHY IT MATTERS / OUR READ

The next test is performance across new substrates, weather, sites and species, not a larger internal accuracy score.

CAVEATS / UNCERTAINTY

Grouped internal cross-validation is not an independent field deployment or validated rare-species absence survey. Accepted Oct 27; final formatting pending.

SOURCE

Frontiers in Ecology and Evolution — Liske et al. (accepted 27 Oct 2026)
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