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	<title>estuary &#8211; BIOENGINEER.ORG</title>
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		<title>AI turns 26 sediment samples into a map of an estuary&#8217;s entire plastic legacy</title>
		<link>https://bioengineer.org/ai-turns-26-sediment-samples-into-a-map-of-an-estuarys-entire-plastic-legacy/</link>
		
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		<pubDate>Sun, 11 Oct 2026 00:14:36 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Baltic Sea]]></category>
		<category><![CDATA[cross-validation]]></category>
		<category><![CDATA[ensemble modeling]]></category>
		<category><![CDATA[environmental monitoring]]></category>
		<category><![CDATA[estuary]]></category>
		<category><![CDATA[grain size proxies]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[microplastics]]></category>
		<category><![CDATA[NIXVEGS]]></category>
		<category><![CDATA[pollution mapping]]></category>
		<category><![CDATA[Schlei]]></category>
		<category><![CDATA[sediments]]></category>
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					<description><![CDATA[Researchers have developed NIXVEGS, an open-source machine learning tool that predicts microplastic concentrations across an entire Baltic estuary from just 26 sediment samples, revealing an estimated 14.3 tons of stored plastic.]]></description>
		
		
		
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