C. R. Guadagno

Quantifying physiological trait variation with automated hyperspectral imaging in rice

This study uses automated hyperspectral imaging to classify nitrogen treatments and predict leaf nitrogen content and carbon-to-nitrogen ratio in rice with high accuracy.

A framework for genomics-informed ecophysiological modeling in plants

The paper develops a framework linking genetic variation to plant physiological responses using genomic prediction and process-based modeling in Brassica rapa.