Tsu‐Wei Chen

The paper presents a computational pipeline that estimates dynamic nitrogen allocation in photosynthesis using optical sensing and a mechanistic model, validated against gas-exchange measurements in wheat.

This study develops a high-throughput pipeline to phenotype stomatal traits in wheat, identifying genetic and environmental factors influencing their plasticity and utility for breeding stress-resilient crops.

This paper shows that averaging vegetation indices can bias plant phenotyping results under nonlinear relationships and proposes a correction method to improve accuracy.