1. Upscaling UAV Image-Trained Machine Learning Models from Research Plots to Commercially Cropped Land

High-throughput plant phenotyping (HTPP) leverages the advancement of unmanned aerial vehicles (UAVs) technology, paired with improvement in spectral sensing technology to allow for the derivation of plant phenotypic traits from image analysis. Crop breeding programs continue to increase incorporation of HTTP methods into their pipelines to enhance their efficiency of selecting for varieties. Machine learning (ML) models, often used hand in hand with HTTP methods, generate phenotypic trait predictions... W. Maess, S. Shirtliffe, K. Nketia