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	<title>field-acquired &#8211; BIOENGINEER.ORG</title>
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		<title>Generative AI Teaches Computers to Spot Pomegranate Disease in the Field</title>
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		<pubDate>Sun, 18 Oct 2026 14:46:31 +0000</pubDate>
				<category><![CDATA[Agriculture]]></category>
		<category><![CDATA[annotated]]></category>
		<category><![CDATA[Computer Vision]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[diffusion model]]></category>
		<category><![CDATA[FID]]></category>
		<category><![CDATA[field-acquired]]></category>
		<category><![CDATA[GAN]]></category>
		<category><![CDATA[generative learning]]></category>
		<category><![CDATA[plant disease detection]]></category>
		<category><![CDATA[pomegranate]]></category>
		<category><![CDATA[synthetic data]]></category>
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					<description><![CDATA[Researchers in Pune have built a Dual GAN–Diffusion generative learning system that synthesizes realistic, diverse pomegranate disease images from field-acquired data, improving dataset quality and classification accuracy under real-world conditions.]]></description>
		
		
		
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