Near-Infrared Sensing of Manure Nutrients

Millmier, Amy; Lorimor, Jeffery C.; Hurburgh, Charles R.; Fulhage, Charles Duane; Hattey, Jeffory A.; Zhang, Hailin

doi:10.13031/2013.2986

Cited by 61 publications

(67 citation statements)

References 3 publications

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“…Second, a classification description by Millmier et al (2000), the model with values between 8 to 12 can describe models for analyzing data from parameter indicators.…”

Section: Resultsmentioning

confidence: 99%

“…The (RER) value is obtained by calculating the division of the concentration amplitude of an analyte by the mean square error of calibration (RMSECV), where a model with ratio of error range (RER) values < 3 has small predictive capability, models with RER between 3 and 10 have low to moderate practical utility, and RER values > 10 indicate good practical utility (Williams, 1987). According to Millmier et al (2000), RER values > 12 indicate high predictability.…”

Section: Statistical Analysis and Partial Least Squares (Pls) Calibramentioning

confidence: 99%

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Prediction of pH and color in pork meat using VIS-NIR Near-infrared Spectroscopy (NIRS)

et al. 2019

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The potential of near-infrared spectroscopy (NORS) to predict the physicochemical characteristics of the porcine longissimus dorsi (LD) muscle was evaluated in comparison to the standard methods of pH and color for meat quality analysis compared to the pH results with Colorimeter and pH meter. Spectral information from each sample (n = 77) was obtained as the average of 32 successive scans acquired over a spectral range from 400 -2498 nm with a 2 -nm gap for calibration and validation models. Partial least squares (PLS) regression was used for each individual model. An R 2 and a residual predictive deviation (RPD) of 0.67/1.7, 0.86/2, and 0.76/1.9 were estimated for color parameters L*, a*, and b*, respectively. Final pH had an R 2 of 0.67 and a RPD of 1.6. NORS showed great potential to predict color parameter a* of porcine LD muscle. Further studies with larger samples should help improve model quality.Keywords: carcasses; color analysis; longissimus dorsi; partial least squares regression; pH analysis.Practical Application: Development of prediction curves for evaluation of pork meat quality.

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“…Second, a classification description by Millmier et al (2000), the model with values between 8 to 12 can describe models for analyzing data from parameter indicators.…”

Section: Resultsmentioning

confidence: 99%

Section: Statistical Analysis and Partial Least Squares (Pls) Calibramentioning

confidence: 99%

Prediction of pH and color in pork meat using VIS-NIR Near-infrared Spectroscopy (NIRS)

et al. 2019

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show abstract

“…These methods are based on the spectral signatures of manure components of interest and do not require the use of chemical reactions or extractions, once calibrations relating the spectral signature to the component of interest have been developed (Millmier et al, 2000;Van Kessel, 2000a,b, 2002a;Malley et al, 2002;Yang et al, 2006).…”

Section: Spectroscopic Qt Methodsmentioning

confidence: 99%

The present status of “quick tests” for on-farm analysis with emphasis on manures and soil: What is available and what is lacking?

Reeves

2007

Livestock Science

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“…The residual error value (RER) was also used as a validation statistic. These indicators are dimensionless statistics, meaning they can be compared on the same basis between different models (AACC 1999; (Millmier et al 2000).…”

Section: Chemometric Analysis and Calibration Model Developmentmentioning

confidence: 99%

“…Regarding the statistical quality indicators, the equations can be classified as good for sample screening and quality control (Millmier et al 2000), and good enough for accurate determinations in order to monitor variations in free-ranging Mediterranean deer diet. …”

Section: Accepted Manuscriptmentioning

confidence: 99%

Fecal-FT-NIRS as a Noninvasive Tool for Assessing Diet Quality of Mediterranean Deer

Tellado¹,

Órpez²,

Muñoz-Cobo³

et al. 2015

Rangeland Ecology & Management

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Near-Infrared Sensing of Manure Nutrients

Cited by 61 publications

References 3 publications

Prediction of pH and color in pork meat using VIS-NIR Near-infrared Spectroscopy (NIRS)

Prediction of pH and color in pork meat using VIS-NIR Near-infrared Spectroscopy (NIRS)

The present status of “quick tests” for on-farm analysis with emphasis on manures and soil: What is available and what is lacking?

Fecal-FT-NIRS as a Noninvasive Tool for Assessing Diet Quality of Mediterranean Deer

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