Prediction accuracy and heritability of UAV based biomass estimation in wheat variety trials as affected by variable type, modelling strategy and sampling location
Daniel T.L Smith,
Qiaomin Chen,
Andries B Potgieter
et al.
Abstract:Background
This study explores the use of Unmanned Aerial Vehicles (UAVs) for estimating wheat biomass, focusing on the impact of phenotyping and analytical protocols. It emphasizes the importance of variable selection, model specificity, and sampling location within the experimental plot in predicting biomass, aiming to refine UAV-based estimation techniques for enhanced selection accuracy and throughput in variety testing and breeding programs.
Results
The research uncovered that integrating geometric and … Show more
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