Tractor‐Based Quadrilateral Spectral Reflectance Measurements to Detect Biomass and Total Aerial Nitrogen in Winter Wheat
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[1] Heege,et al. On-the-Go Sensing for Site-Specific Nitrogen Top Dressing , 2002 .
[2] Urs Schmidhalter,et al. Nitrogen status and biomass determination of oilseed rape by laser-induced chlorophyll fluorescence , 2009 .
[3] J. Lammel,et al. Tractor based remote sensing for variable nitrogen fertilizer application , 2001 .
[4] A. Gitelson,et al. Application of Spectral Remote Sensing for Agronomic Decisions , 2008 .
[5] Z. Cerovic,et al. Optically assessed contents of leaf polyphenolics and chlorophyll as indicators of nitrogen deficiency in wheat (Triticum aestivum L.) , 2005 .
[6] J. Schjoerring,et al. Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression , 2003 .
[7] Gregory A Carter,et al. Optical properties of intact leaves for estimating chlorophyll concentration. , 2002, Journal of environmental quality.
[8] Paul Boissard,et al. Early detection of N deficiency in a wheat crop using physiological and radiometric methods , 1998 .
[9] B. Mistele,et al. Spectral measurements of the total aerial N and biomass dry weight in maize using a quadrilateral-view optic , 2008 .
[10] J. Zadoks. A decimal code for the growth stages of cereals , 1974 .
[11] K. R. Reddy,et al. Narrow-waveband reflectance ratios for remote estimation of nitrogen status in cotton. , 2002, Journal of environmental quality.
[12] G. Guyot,et al. 2 – OPTICAL PROPERTIES OF VEGETATION CANOPIES , 1990 .
[13] Precision Agriculture: Spatial and Temporal Variability of Soil Water Nitrogen and Plant Crop Response , 2006 .
[14] F. J. Pierce,et al. Remote Sensing of Canopy Dynamics and Biophysical Variables Estimation of Corn in Michigan , 2005 .
[15] N. Broge,et al. Deriving green crop area index and canopy chlorophyll density of winter wheat from spectral reflectance data , 2002 .
[16] D. M. Gates,et al. Spectral Properties of Plants , 1965 .
[17] H. Lichtenthaler,et al. Imaging of the Blue, Green, and Red Fluorescence Emission of Plants: An Overview , 2000, Photosynthetica.
[18] J. Araus,et al. Spectral vegetation indices as nondestructive tools for determining durum wheat yield. , 2000 .
[19] John B. Solie,et al. OPTIMUM FIELD ELEMENT SIZE FOR MAXIMUM YIELDS IN WINTER WHEAT, USING VARIABLE NITROGEN RATES , 2001 .
[20] M. Flowers,et al. Field Validation of a Remote Sensing Technique for Early Nitrogen Application Decisions in Wheat , 2003 .
[21] John B. Solie,et al. Detection of nitrogen and phosphorus nutrient status in winter wheat using spectral radiance , 1998 .
[22] E. Justes,et al. Wheat, Barley, and Durum Wheat , 1997 .
[23] B. Mistele,et al. Estimating the nitrogen nutrition index using spectral canopy reflectance measurements , 2008 .
[24] J. Peñuelas,et al. Remote sensing of biomass and yield of winter wheat under different nitrogen supplies , 2000 .
[25] N. Broge,et al. Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density , 2001 .