Tuesday, 7 October 2008: 10:30 AM

George R. Brown Convention Center, 360DE

Randal Taylor, Oklahoma State University, 111 Ag Hall, Stillwater, OK 74078, Daryl B. Arnall, Oklahoma State University, 2605 W. 6th, Agronomy Farm Bld 615, Stillwater, OK 74078, Ahmad Khalilian, Clemson University, Edisto REC, 64 Research Road, Blackville, SC 29817, William Raun, Oklahoma State University, 044 Agriculture Hall, Dept. of Plant & Soil Sciences, Stillwater, OK 74078-0507, John Solie, Biosystems and Agricultural Engineering, Oklahoma State University, 111 Ag Hall, Stillwater, OK 74078 and John Wilkerson, University of Tennessee, 103 Morgan Hall, 2621 Morgan Circle, Knoxville, TN 37996

Sensors have been used successfully to manage nitrogen in cereal crops like corn and wheat. However, the indeterminate nature cotton offers a unique nitrogen management situation when compared to these crops. Researchers have successfully used the Normalized Difference Vegetative Index (NDVI) from remotely sensed imagery to estimate cotton lint yield. Others have shown that NDVI measured remotely and with ground based sensors is similar, thus ground based sensors could be used to estimate yield. Several researchers across the cotton belt are developing algorithms to relate sensor readings to cotton nitrogen needs. Once the algorithms are developed, application equipment must be set up to successfully apply nitrogen at the desired scale. This presentation will address the current status of sensor based in-season nitrogen for cotton and the opportunities and challenges for the future.

See more of: Symposium --Nitrogen Management in Cotton Production/Div. A09 Business Meeting
See more of: A09 Professional Practitioners

2008 Joint Annual Meeting (5-9 Oct. 2008): Current and Future Status of Sensor Technology for Nitrogen Management in Cotton.

632-5 Current and Future Status of Sensor Technology for Nitrogen Management in Cotton.