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Machine learning to decipher plankton big data and unravel the link between marine plankton diversity and associated ecosystem services

CORDIS · observation · Publication date unknown

Machine learning to decipher plankton big data and unravel the link between marine plankton diversity and associated ecosystem services "Marine plankton is highly diverse, with millions of taxa and genes. This huge biodiversity plays a key role in providing ecosystem services to human societies, such as oxygen production, carbon export, climate regulation, or food provision. Large datasets of various types have been gathered to document marine plankton, from individuals (e.g., species occurrences, individual images) to communities (acoustic, satellite, metagenomics). Yet, these plankton ""big data"" are largely underexploited, while new tools from machine learning (ML) are now available to mine them. Today, the two main challenges of using ML for plankton big data are: i) to handle, combine, and decipher data of various types, and ii) to use these data to improve marine ecosystem models,

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recordType

award

status

SIGNED

region

EU

value

4471046.67

unit

EUR