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	<title>spinach growth stages &#8211; BIOENGINEER.ORG</title>
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		<title>Machine Learning Framework Delivers Reliable Agronomic Predictions for Precision Farming</title>
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		<pubDate>Thu, 15 Oct 2026 22:16:50 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[agronomic parameter prediction]]></category>
		<category><![CDATA[cross-validation]]></category>
		<category><![CDATA[Feature Selection]]></category>
		<category><![CDATA[hybrid ensemble models]]></category>
		<category><![CDATA[hyperparameter optimization]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[optimized]]></category>
		<category><![CDATA[Precision Farming]]></category>
		<category><![CDATA[Scientific Reports]]></category>
		<category><![CDATA[soil nutrient estimation]]></category>
		<category><![CDATA[spinach growth stages]]></category>
		<category><![CDATA[Sustainable Agriculture]]></category>
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					<description><![CDATA[Researchers in India have developed an optimized machine learning framework combining preprocessing, feature selection and hyperparameter tuning that predicts agronomic parameters and classifies spinach growth stages with 84.63 percent accuracy.]]></description>
		
		
		
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