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Research
Initiative for Future Agriculture and Food Systems (IFAFS) Project
Determine whether vegetation and topographic indices computed from Remote Sensing data and terrain models can improve prediction of crop N status, and whether these indices can be used to predict the crop yield or crop quality response to late season N application.
Unmanned Aerial Vehicle for low-altitude remote sensing of soil and crop conditions within farm fields.
Develop 3D visualization tools for use with the Internet and add value to individual information layers from terrain models, remote sensing, and yield maps.
Enhance existing teaching and outreach programs with use of the 3-D visualization and analysis techniques.
NDVI Classified image5 (ADC camera, August 27th, 2003)
Tasseled cap classified image5 (QuickBird, July 31th, 2003)
Yield Map (October 16th, 2003)
Darker areas have higher NDVI values
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