AI Analyzes Marine Snow to Track Ocean Carbon
University of Maine researchers use automated tools to classify particles sinking from the ocean surface.
A digital display showing microscopic organic particles known as marine snow being analyzed by an AI system with data overlays and neural network patterns.
Photo: Kronos News
Researchers at the University of Maine are developing artificial intelligence tools to study "marine snow." These tiny organic particles sink from the ocean surface into the deep sea [1]. The project aims to determine the chemical composition of these materials through automated classification [1].
This research focuses on how carbon and nutrients move through global oceans [1]. Scientists believe understanding these particles is vital for mapping the ocean's role in the carbon cycle [1]. The new AI system replaces manual analysis to speed up data collection and improve scientific accuracy [1].
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