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		<title>AI Learns to Diagnose Grapevine Diseases Like a Plant Pathologist</title>
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		<category><![CDATA[convolutional neural networks]]></category>
		<category><![CDATA[cross-attention]]></category>
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		<category><![CDATA[grapevine disease]]></category>
		<category><![CDATA[LLaVA]]></category>
		<category><![CDATA[plant pathology]]></category>
		<category><![CDATA[PlantVillage]]></category>
		<category><![CDATA[precision agriculture]]></category>
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		<category><![CDATA[saliency auto-crop]]></category>
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					<description><![CDATA[Researchers in Vietnam have built a hybrid vision-language AI that diagnoses grapevine diseases with 98.7 percent accuracy while explaining its reasoning and resisting the background overfitting that cripples conventional CNNs in real fields.]]></description>
		
		
		
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