About this Session

Potential of UAS-Based Multispectral Imagery for In-Season Nitrogen Management in Cotton

Presented by: Dr. Simerjeet Virk
Assistant Professor & Precision Ag Specialist, University of Georgia

Latest availability and integration of high-resolution multispectral sensors on unmanned aerial systems have expanded the capabilities for time-sensitive and rapid data collection over large fields in the season. Cotton nitrogen management in the season can have a significant impact on the crop growth and subsequent lint yield. This study investigated the potential of multispectral imagery-collected using an unmanned aerial system-for estimating nitrogen status in cotton during the growing season, with a goal of developing correlations that can be used to detect and address in-season Nitrogen variability in cotton.