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		<title>AI Rebuilds Hidden Tomato Surfaces From a Single Camera Shot, Boosting Greenhouse Phenotyping</title>
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		<pubDate>Wed, 14 Oct 2026 13:28:44 +0000</pubDate>
				<category><![CDATA[Agriculture]]></category>
		<category><![CDATA[3D reconstruction]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[fruit diameter estimation]]></category>
		<category><![CDATA[generative adversarial network]]></category>
		<category><![CDATA[greenhouse sensing]]></category>
		<category><![CDATA[occlusion]]></category>
		<category><![CDATA[point cloud completion]]></category>
		<category><![CDATA[precision agriculture]]></category>
		<category><![CDATA[RGB-D camera]]></category>
		<category><![CDATA[spatial transformer]]></category>
		<category><![CDATA[tomato phenotyping]]></category>
		<category><![CDATA[weight estimation]]></category>
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					<description><![CDATA[A new adversarial deep learning system called ABox-PC digitally reconstructs the occluded surfaces of greenhouse tomatoes from single-view 3D scans, substantially improving automated estimates of fruit diameter, volume, and weight.]]></description>
		
		
		
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