Mississippi State University
Varco, Jac J.
Henry, W. Henry
Fox, Amelia Ann Amy
Cox, Michael S.
Date of Degree
Graduate Thesis - Open Access
Plant and Soil Sciences (Agronomy)
Master of Science
College of Agriculture and Life Sciences
Department of Plant and Soil Sciences
Single-rate blanket application of fertilizer nitrogen (N) can result in an over or under application. Variable rate (VR) applications tailored to actual crop demands can improve N use efficiency in spatially variable soils. The objective of this study was to compare and improve relationships derived between corn canopy reflectance and corn N status acquired with two sensing platforms. Four fertilizer N rates were used, from deficient to excess, to create varying corn N status. Sensing and biophysical sampling was taken throughout the season for analysis and comparison to calculated vegetation indices (VIs). Results show strong relationships between VIs and corn N concentration and the strongest found using combined indices that incorporate the red-edge wavelength (720 nm). Relationships strengthened at latter growth stages. Results and models from this study demonstrate the utility of using remote sensing technologies to more accurately predict corn N status for eventual use in VR prescription development.
Sumner, Zachary Thomas, "Multi-platform comparison of canopy reflectance on corn whole plant and leaf tissue nitrogen status" (2019). Theses and Dissertations. 3233.