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.

This study uses thermal imaging to assess stay-green functionality in wheat canopies under temperate conditions, finding measurable temperature differences linked to leaf activity traits.