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	<title>leaf temperature &#8211; BIOENGINEER.ORG</title>
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		<title>Research report: Forecast-based virtual sensing and early-warning decision support for canopy-level thermal risk monitoring in tomato greenhouses</title>
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		<pubDate>Tue, 27 Oct 2026 13:23:43 +0000</pubDate>
				<category><![CDATA[Agriculture]]></category>
		<category><![CDATA[decision support]]></category>
		<category><![CDATA[early warning]]></category>
		<category><![CDATA[greenhouse]]></category>
		<category><![CDATA[leaf temperature]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[precision agriculture]]></category>
		<category><![CDATA[SHAP]]></category>
		<category><![CDATA[temperature forecasting]]></category>
		<category><![CDATA[thermal risk]]></category>
		<category><![CDATA[tomato]]></category>
		<category><![CDATA[virtual sensing]]></category>
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					<description><![CDATA[Machine-learning forecasts of air and leaf temperature in a commercial tomato greenhouse detected below-setpoint thermal events with average warning lead times of about 29 and 57 minutes, outperforming reactive threshold alarms in a retrospective evaluation.]]></description>
		
		
		
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