We aim to develop an interactive web-based data visualisation tool during these 48 hours. This tool should be able to handle large plankton imaging datasets and represent them in a visually
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Create an algorithm based on Machine Learning which delivers a local (at a buoy location) 24h forecast based on the GFS free regional model outputs and trained with the buoy database point
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Create an interactive map to display and make available to as many people as possible the data collected during Astrolabe Expedition's various expeditions.
Proof of concept of a model for the dispersion of a pollutant at sea based on the properties of the pollutant and data on currentology, meteorology and the sensitivity of the areas concerned.
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