CORDIS Project
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This project aims to automate the detection and quantification of insoluble particles in ice cores using artificial intelligence. By developing a routine that utilizes flow imaging microscopy and pattern recognition, it seeks to enhance paleoclimate research.
The detection of insoluble particles trapped in ice or sediment cores, like pollen grains, foraminiferal and diatom assemblages, volcanic and dust particles represents the basis for paleoresearch on the biosphere, volcanism and oceanic and atmospheric realms.
To date, except for ice core dust, this analytical goal is achieved during years of particle observations by manual microscopy.
Artificial Intelligence predictive models are already applied to several research fields within geoscience, but…
UNIVERSITA CA' FOSCARI VENEZIA
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