Clay G. Christenson

This study examines a Zea mays slac1-2 mutant to assess its impact on water use efficiency and agronomic traits, finding no improvement in CO2 assimilation or yield despite increased stomatal conductance.

This paper develops deep learning models to detect and quantify sorghum charcoal rot in field images, finding that EfficientNet-B3 and FCN achieve high accuracy and efficiency.