TAHAF: RGB-D plant phenotyping

Sep 2026·
Md. Mahbubur Rahman
Md. Mahbubur Rahman
· 1 min read
TAHAF architecture: RGB and depth encoders, multi-scale attention fusion and trait prediction heads. Architecture from Figure 5 of the TAHAF paper.
projects

TAHAF uses trait-adaptive hierarchical attention fusion to combine RGB and depth information for lettuce phenotyping in hydroponic systems.

Discuss this work.

RGB-D Plant Phenotyping
Md. Mahbubur Rahman
Authors
Md. Mahbubur Rahman
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.