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Predicting grain yield and protein content in winter wheat and spring barley using repeated canopy reflectance measurements and partial least squares regression Organic Eprints
Hansen, P.M.; Jørgensen, J.R.; Thomsen, A..
By providing both spatial and temporal information remote sensing may function as an important source of data for site-specific crop management. This technology has been used for nitrogen application strategies to obtain optimum yield and grain quality. Here, the objective was to use early repeated remotely sensed multi-spectral data to predict grain yield and quality for winter wheat (Triticum aestivum L.) and spring barley (Hordeum vulgare L.). The crops were sown with two different seeding rates and a wide range of nitrogen strategies were applied. Multi-way partial least squares regression (N-PLS) was used to predict grain yield and protein content. The results were compared with unfold-PLS1 and PLS1 using reflectance data from the last measurement...
Tipo: Journal paper Palavras-chave: Crop husbandry.
Ano: 2002 URL: http://orgprints.org/426/1/Predicting_grain_yield_and_protein_content_in_winter_wheat_and_spring_barley_using_repeated_canopy_reflectance_measurements_and_partial_least_squares_regression.pdf
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