Precision Agriculture

High-Throughput Phenotyping of Perennial Forage Crops Using Unmanned Aerial Vehicle (UAV)

Breeding perennial forage crops such as alfalfa, tall fescue, and white clover is challenging due to their long life cycles and labor-intensive data collection requirements. This complexity demands repeated evaluations throughout the growing season, making manual data collection a significant bottleneck in plant breeding programs.

My research explores UAV-based phenotyping with RGB, multispectral, hyperspectral, and LiDAR sensors to estimate biomass yield, plant height, and forage quality in perennial forage crops, enhancing breeding program efficiency and accuracy.

Funding and Collaborators:

• University of Georgia

• University of Padova