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	<title>soil surveys &#8211; BIOENGINEER.ORG</title>
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		<title>New AI Method Iteratively Corrects Soil Maps to Sharpen Accuracy and Cut Uncertainty</title>
		<link>https://bioengineer.org/new-ai-method-iteratively-corrects-soil-maps-to-sharpen-accuracy-and-cut-uncertainty/</link>
		
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		<pubDate>Fri, 09 Oct 2026 22:38:08 +0000</pubDate>
				<category><![CDATA[Agriculture]]></category>
		<category><![CDATA[California]]></category>
		<category><![CDATA[digital soil mapping]]></category>
		<category><![CDATA[iterative residual correction]]></category>
		<category><![CDATA[land surface modeling]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[precision agriculture]]></category>
		<category><![CDATA[Random Forest]]></category>
		<category><![CDATA[soil organic matter]]></category>
		<category><![CDATA[soil properties]]></category>
		<category><![CDATA[soil surveys]]></category>
		<category><![CDATA[soil texture]]></category>
		<category><![CDATA[uncertainty quantification]]></category>
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					<description><![CDATA[Researchers have developed an iterative residual correction method that uses new soil profile data to significantly improve the accuracy and reliability of existing probabilistic soil maps, as demonstrated across California.]]></description>
		
		
		
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