Justin M. McGrath

This study evaluates LiDAR's ability to estimate canopy traits in corn and soybean, finding comparable LAI quality in corn but poor performance in soybean due to dense canopies, and accurate stand count in corn with faster data collection.

This study shows that elevated CO2 increases soybean nutrient yield by enhancing root uptake, despite reducing transpiration and dilution effects on tissue concentrations.

The paper integrates carbon utilization and transport processes into a crop growth model to predict soybean carbon allocation behavior under varying conditions.

The paper identifies common variants of the Farquhar-von-Caemmerer-Berry model that can introduce errors in photosynthetic parameter estimation, particularly the 'min-A variant' and omission of triose phosphate utilization thresholds.