Quantifying growth and lodging in Tef (Eragrostis tef) with Uncrewed Aerial Systems (UAS)
Authors: Brown, K., Schuhl, H., Srivastava, D., Beyene, G., Li, M., Fahlgren, N., Murphy, K. M.
Category: Plant Biology
Model Organism: Eragrostis tef
▶ AI Summary
The study presents low‑cost UAS workflows using RGB photogrammetry and LiDAR to measure stand height and lodging severity in tef, demonstrating that early‑season height can predict later lodging. Comparison of 3D point clouds from both sensors showed comparable accuracy, enabling precise, high‑throughput phenotyping for breeding semidwarf, lodging‑resistant lines. The tools were integrated into the open‑source PlantCV‑Geospatial platform for community use.