<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>RGB-D Plant Phenotyping | Md. Mahbubur Rahman</title><link>https://mmrahman-academic-mmrwyo.pages.dev/tags/rgb-d-plant-phenotyping/</link><atom:link href="https://mmrahman-academic-mmrwyo.pages.dev/tags/rgb-d-plant-phenotyping/index.xml" rel="self" type="application/rss+xml"/><description>RGB-D Plant Phenotyping</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 16 Sep 2026 00:00:00 +0000</lastBuildDate><image><url>https://mmrahman-academic-mmrwyo.pages.dev/media/icon_hu_1c0e9cb08cfb822a.png</url><title>RGB-D Plant Phenotyping</title><link>https://mmrahman-academic-mmrwyo.pages.dev/tags/rgb-d-plant-phenotyping/</link></image><item><title>TAHAF: RGB-D plant phenotyping</title><link>https://mmrahman-academic-mmrwyo.pages.dev/projects/tahaf/</link><pubDate>Wed, 16 Sep 2026 00:00:00 +0000</pubDate><guid>https://mmrahman-academic-mmrwyo.pages.dev/projects/tahaf/</guid><description>&lt;p&gt;TAHAF uses trait-adaptive hierarchical attention fusion to combine RGB and depth information for lettuce phenotyping in hydroponic systems.&lt;/p&gt;
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