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• W2022668206 abstract "Near Infrared Reflectance Spectroscopy (NIRS) has been used to analyze a variety of agricultural commodities. Many times the success or lack of it has been due to inadequate computational capabilities or asking more of the instrument than its capabilities. This study showed that for the development of multiple analytical methods by Near Infrared Reflectance Spectroscopy (NIRS) a sophisticated instrument computer software system can perform multiple analyses and that different data treatments were required for each constituent. In this case a scanning monochromator with a digital mini computer and the USDA/Pennsylvania State University software system could easily be calibrated to determine simultaneously the percentages of moisture, protein and residual oil in cottonseed meal. High RSQ (.98–.99 for all constituents) and low standard errors of prediction (SEP) (0.18 moisture, 0.1 oil and 0.34 protein) were obtained. Success was due to the acquisition of sufficient data for all three analyses (via the monochromator) and the use of sufficient computing power to obtain an optimized calibration where each constituent required a different mathematical data treatment." @default.
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• W2022668206 date "1988-05-01" @default.
• W2022668206 modified "2023-09-25" @default.
• W2022668206 title "The calibration of NIR reflectance spectrometer for the determination of diverse compositional parameters" @default.
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• W2022668206 doi "https://doi.org/10.1007/bf02542528" @default.
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