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 Digital 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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