Predicting grain yield and protein content in winter wheat and spring barley using repeated canopy reflectance measurements and partial least squares regression

By P. Hansen, J. R. Jørgensen, A. Thomsen. Journal of Agricultural Sciences, 2002

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Predicting Grain Yield and Protein Content in Winter Wheat at Different N Supply Levels Using Canopy Reflectance Spectra (2007, methodology): “Hansen et al. (2002) tried to use early, repeated remote sensing multispectral data to predict grain yield and quality of winter wheat and spring barley.”
Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties - A review (2015, background): “Hansen et al. (2002) and Ye et al. (2007, 2008) applied PLSR for yield prediction purposes.”
Efficient stabilization of crop yield prediction in the Canadian Prairies (2012, background): “Its importance, owever, should not be understated: wheat is one of Canada’s priary exports, accounting for 12% of wheat and barley traded in he world market.”
Data fusion of spectral, thermal and canopy height parameters for improved yield prediction of drought stressed spring barley (2016, background): “Hansen et al. (2002) colected spectral measurements from spring barley with high yield ariability due to the use of two plant densities (150 and 450 plants −2) and eleven strategies of nitrogen application (0–150 kg total ha−1).”
Spectral reflectance at sub‐leaf scale including the spatial distribution discriminating NPK stress characteristics in barley using multiway partial least squares regression (2007, background): “Hence they may lead to conclusions that are, at best, incomplete (Hansen et al. 2002).”