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Published in Agron J 98:1318-1325 (2006)
DOI: 10.2134/agronj2005.0225
© 2006 American Society of Agronomy
677 S. Segoe Rd., Madison, WI 53711 USA
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Imaging Spectroscopy for On-Farm Measurement of Grassland Yield and Quality

A. G. T. Schuta,*, G. W. A. M. van der Heijdena, I. Hovingb, M. W. J. Stienezenb, F. K. van Everta and J. Meulemana

a Plant Research International, P.O. Box 16, 6700 AA, Wageningen, the Netherlands
b Animal Sciences Group, Applied Research, Wageningen Univ. and Research Centre, P.O. Box 65, 8200 AB Lelystad, the Netherlands (A.G.T. Schut, present address: Dep. of Spatial Sciences, Curtin Univ. of Technology, GPO Box U1987, Perth, Australia)


Figure 1
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Fig. 1. Measured (horizontal axis) vs. predicted values (vertical axis), using a partial least squares model that was trained on independent data for prediction of relative values for the grass–clover data set. The data were rescaled using the means and standard deviations in the prediction set. Different colors indicate different harvests. See Table 3 for units of measurement.

 

Figure 2
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Fig. 2. Contour maps of deviations from the mean predicted value for DM (dry matter) yield (kg ha–1), crude fiber (CF) concentration(g kg–1 DM), sugar concentration (g kg–1 DM), and N concentration (g kg–1 DM) of Fields 8, 9, and 10 (from left to right) of the Van Wijk farm in June 2004. The black dots indicate the location of sampling.

 

Figure 3
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Fig. 3. Contour maps of deviations from the mean for DM (dry matter) yield (kg ha–1) on 5 May and 12 May 2005 of Fields 6 and 7 of the De Marke farm. The black dots indicate the location of sampling.

 





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