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		<title>Sharper Shots, Better Numbers: Imaging Method Tames Variance in Crop Disease Estimates</title>
		<link>https://bioengineer.org/sharper-shots-better-numbers-imaging-method-tames-variance-in-crop-disease-estimates/</link>
		
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		<pubDate>Mon, 05 Oct 2026 14:03:07 +0000</pubDate>
				<category><![CDATA[Agriculture]]></category>
		<category><![CDATA[Beta distribution]]></category>
		<category><![CDATA[brown rust]]></category>
		<category><![CDATA[Disease severity]]></category>
		<category><![CDATA[field phenotyping]]></category>
		<category><![CDATA[focus bracketing]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[plant pathology]]></category>
		<category><![CDATA[precision agriculture]]></category>
		<category><![CDATA[septoria tritici blotch]]></category>
		<category><![CDATA[spatial autocorrelation]]></category>
		<category><![CDATA[statistical modeling]]></category>
		<category><![CDATA[wheat breeding]]></category>
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					<description><![CDATA[Researchers at ETH Zürich analyzed 16,650 high-resolution field images to show how focus bracketing, dense spatial sampling, and Beta-distribution modeling can reconcile precision and variance in plot-level estimates of wheat disease severity.]]></description>
		
		
		
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