Effectiveness of crop reflectance sensors on detection of cotton (Gossypium hirsutum L.) growth and nitrogen status
by Raper, Tyson Brant, M.S., MISSISSIPPI STATE UNIVERSITY, 2011, 287 pages; 1497285

Abstract:

Cotton (Gossypium hirsutum L.) reflectance has potential to drive variable rate N (VRN) applications, but more precise definitions of relationships between sensor-observed reflectance, plant height, and N status are necessary. The objectives of this study were to define effectiveness and relationships between three commercially available sensors, and examine relationships of wavelengths and indices obtained by a spectrometer to plant height and N status. Field trials were conducted during 2008-2010 growing seasons at Mississippi State, MS. Fertilizer N rates ranged from 0-135 kg N ha-1 to establish growth differences. Sensor effects were significant, but sensors monitoring Normalized Difference Vegetation Index (NDVI) failed to correlate well with early-season N status. Wavelengths and indices utilizing the red-edge correlated most strongly with N status. Both Guyot's Red Edge Index (REI) and Canopy Chlorophyll Content Index (CCCI) correlated consistently with N status independent of biomass status early enough in the growing season to drive VRN.

 
AdviserJac J. Varco
SchoolMISSISSIPPI STATE UNIVERSITY
SourceMAI/ 50-01, p. , Sep 2011
Source TypeThesis
SubjectsAgronomy; Remote sensing
Publication Number1497285
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