2011
DOI: 10.1080/00032719.2011.551855
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New Approaches for Field Analyses of Cotton Quality by Means of Near-IR Spectroscopy Supported by Chemometrics

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Cited by 9 publications
(6 citation statements)
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“…As previously noted, a micronaire outlier was designated as samples in which the difference between the HVI micronaire and NIR measured micronaire was >±0.3 mic units. 29,33 The NIR spectral data results of these five treatments, shown in Table 5, were similar to the results observed in Table 3, with the primary difference being the specific letter grouping of significant differences. As observed previously, all three NIR instruments were affected by non-standard RH (not 65%) at constant T (21℃), with negative deviations at high RH and positive deviations at low RH .…”
Section: Resultssupporting
confidence: 76%
See 3 more Smart Citations
“…As previously noted, a micronaire outlier was designated as samples in which the difference between the HVI micronaire and NIR measured micronaire was >±0.3 mic units. 29,33 The NIR spectral data results of these five treatments, shown in Table 5, were similar to the results observed in Table 3, with the primary difference being the specific letter grouping of significant differences. As observed previously, all three NIR instruments were affected by non-standard RH (not 65%) at constant T (21℃), with negative deviations at high RH and positive deviations at low RH .…”
Section: Resultssupporting
confidence: 76%
“…Previously, it was established by key industry stakeholders (e.g., Cotton Incorporated) that a micronaire outlier is designated as samples in which the difference between the HVI micronaire and NIR projected micronaire was >AE0.3 mic units. 29,33 The NIR spectra were analyzed by treatments and by samples and both were bias corrected based on the laboratory-controlled conditions data results (T ¼ 21 C at RH ¼ 65%). Higher RH/T conditions not only affected the fiber moisture content, but also the NIR mic results ( Table 3).…”
Section: Moisture Fiber Analysis and Nir Mic Projectionsmentioning
confidence: 99%
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“…Derivative PLS regression models were developed, and the best overall prediction results were obtained with a first derivative PLS model, with low residuals and a R 2 of 0.91. Data analysis of the spectra by Vogt and colleagues strongly indicated that exclusion of the water band in the range of 1900–2000 nm had almost no impact on the micronaire prediction; 29 this band was of serious concern for field/outside the laboratory measurements, as fluctuations in the relative humidity in field conditions could impact the water band and thus, possibly the micronaire production capabilities of the portable NIR instrument. Principal components regression by Vogt and colleagues also yielded micronaire prediction with low residuals.…”
Section: An Overview Of Cotton Fiber Micronaire Measurements By Near-infraredmentioning
confidence: 99%