Chase M. Mason

The paper develops a method using HPLC-DAD and Gaussian Mixture Models to analyze plant metabolomics, showing improved classification of chemical classes compared to traditional methods.

This study uses XAI to model sunflower yield impacts from historical weather data, identifying key climate variables and forecasting future yields under different climate scenarios.

This study examines how historical breeding practices in sunflower affect leaf ecophysiology and specialized metabolism by analyzing 288 cultivated lines across heterotic groups.