Michael Pumphrey

AGIcam provides an IoT-based camera system for continuous in-field plant phenotyping and yield prediction using time-series imagery and machine learning models.

The paper develops a wheat haplotype graph database for efficient genotype storage and imputation, showing improved accuracy over existing methods.

This study uses multi-trait machine and deep learning models with spectral data to improve genomic selection predictions for grain yield and protein content in wheat.