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		<title>Oat leaf hyperspectral workflow hits R2 of 0.8575 with 80% fewer bands</title>
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		<pubDate>Mon, 26 Oct 2026 17:51:58 +0000</pubDate>
				<category><![CDATA[Agriculture]]></category>
		<category><![CDATA[band selection]]></category>
		<category><![CDATA[chlorophyll]]></category>
		<category><![CDATA[cross-stage validation]]></category>
		<category><![CDATA[hyperspectral imaging]]></category>
		<category><![CDATA[interpretability]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[oat]]></category>
		<category><![CDATA[Plant Methods]]></category>
		<category><![CDATA[plant phenotyping]]></category>
		<category><![CDATA[Reproducibility]]></category>
		<category><![CDATA[SPAD]]></category>
		<category><![CDATA[tabular deep learning]]></category>
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					<description><![CDATA[A Plant Methods study presents a reproducible hyperspectral workflow for oat leaf chlorophyll phenotyping that reaches R² of 0.8575 with 80% fewer spectral bands while mapping exactly where cross-stage prediction breaks down.]]></description>
		
		
		
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