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Combining numerical modeling and machine learning for microplastic monitoring
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This perspective piece argues that combining numerical ocean transport models with machine learning could improve microplastic monitoring by filling gaps in observational data. Interdisciplinary approaches that integrate modeling and AI are increasingly seen as necessary tools for tracking plastic pollution across vast ocean areas.
Interdisciplinary field may help address major environmental problem
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When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.