Skip to main content
Quantifying Corn N Deficiency and Application Rate with Active Canopy Sensors
Agronomy Conference Proceedings and Presentations
  • Daniel W. Barker, Iowa State University
  • John E. Sawyer, Iowa State University
Document Type
Publication Version
Published Version
Publication Date
Precision agriculture technologies are an integral part of many operations in Iowa corn production. Active canopy sensors have been developed as a tool to determine plant N stress deficiency and provide on-the-go decisions for implementing variable rate N application. The objectives of this study were to assess N deficiency stress levels at the mid-vegetative corn growth stages with active canopy sensors, calibrate active sensors and associated canopy indices, and develop N rate algorithms that can be used to determine variable rate N fertilization.
Copyright Owner
Iowa State University
File Format
Citation Information
Daniel W. Barker and John E. Sawyer. "Quantifying Corn N Deficiency and Application Rate with Active Canopy Sensors" (2010)
Available at: