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- W2286349081 abstract "Faraji, H., Crowe, T., Besant, R., Sokhansanj, S. and Wood, H. 2004. Prediction of moisture content of potash fertilizer using NIR spectroscopy. Canadian Biosystems Engineering/Le genie des biosystemes au Canada 46: 3.45 3.48. Near infrared spectroscopy (NIRS)was employed to explore the structure of reflectance spectra of red standard potash granules. Reflectance spectra were collected after samples had been conditioned to moisture contents in the range of 01%. Reflectance at selected wavelengths was incorporated with multiple linear regression (MLR) to predict sample moisture contents. Models were evaluated based on their ability to predict moisture content in the validation data set, using the adjusted coefficient of determination (radj) and standard error of prediction (SEP). A threeregressor model, using reflectance at 1198, 1427, and 2016 nm was selected as a model with the best ability to estimate moisture content of red standard potash. For this model radj and SEP were 0.92 and 0.005, respectively." @default.
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- W2286349081 date "2004-01-01" @default.
- W2286349081 modified "2023-09-27" @default.
- W2286349081 title "Prediction of moisture content of potash fertilizers using NIR spectroscopy" @default.
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