Methodology

DIGI4ECO’s methodology focuses on utilizing sleeping data, developing tools to process data from various sources, promoting standardization, and harmonizing data by unifying libraries and resources. The project aims to conduct sea-basin scale monitoring tests, provide guidelines for stakeholders, and make tools open-source for continuous improvement.

Key Points:

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Utilizes sleeping data (Artificial Intelligence and Machine Learning) and develops tools for processing data from physical and chemical sensors, video cameras, and online repositories.
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Aims to harmonize data through standardization tools and unifying libraries like FathomNet, EMODnet, Copernicus, and genetic sequence databases.
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Conducts pilot sea-basin scale monitoring tests using existing and new data to support assessment and identify key indicators.
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Focuses on open-source resources, international collaboration, and monitoring ecosystem services and iconic species using a robotic network approach.
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Connects Pilot Test with Data Treatment Objective by accumulating data from various sources, feeding it to the DTO through autonomous platforms, and ensuring data harmonization and open access to stakeholders.