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	<title>seedling production &#8211; BIOENGINEER.ORG</title>
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		<title>AI predicts mycorrhizal colonization, but field validation lags</title>
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		<pubDate>Mon, 26 Oct 2026 22:12:13 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[afforestation]]></category>
		<category><![CDATA[Artificial]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[ecosystem restoration]]></category>
		<category><![CDATA[field validation]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[Intelligence-based]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[mycorrhizal fungi]]></category>
		<category><![CDATA[root colonization]]></category>
		<category><![CDATA[seedling production]]></category>
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					<description><![CDATA[A review of 34 studies finds that artificial intelligence performs well at analyzing mycorrhizal root images, but limited external and field validation leaves its real-world reliability uncertain.]]></description>
		
		
		
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