Olivia Zumsteg

The paper develops a Physics-Informed Neural Network (PINN) for predicting plant height growth, showing improved accuracy over traditional models with limited data.

The paper introduces a large-scale wheat phenotyping dataset with time series imaging and trait data across six years, enabling studies on genotype-environment interactions and crop modeling.

This study compares multispectral and RGB sensors on UAVs for monitoring wheat canopy senescence, finding that frequent measurements are more effective than high spectral resolution.