CLFM: climate-informed representation learning
Sep 2026·
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1 min read
Md. Mahbubur Rahman
Conceptual overview of ongoing CLFM research, based on the project description. This is not a published paper figure.CLFM explores label-efficient plant trait prediction by bringing greenhouse images and climate measurements into a shared learning framework. Current development investigates image-environment contrastive learning and adaptation of vision backbones.
Authors
PhD Student in Computer Science
I am a Computer Science PhD student and Graduate Research Assistant at the University of Wyoming, working with Dr. Yaqoob Majeed. My research focuses on computer vision, RGB-D perception, and AI for plant phenotyping. I also serve as Research Director at Peer Research Lab in Bangladesh.