Potential for on-site and on-line analysis of hog manure using visual and near-infrared reflectance spectroscopy

W. Saeys; A.M. Mouazen; H. Ramon

Potential for on-site and on-line analysis of hog manure using visual and near-infrared reflectance spectroscopy

In: Precision Livestock Farming â05

Authors:

W. Saeys

W. Saeys Department of Agro-Engineering and -Economics, Faculty of Agricultural and Applied Biological Sciences, Kasteelpark Arenberg 30, B-3001 Heverlee, Belgium wouter.saeys@agr.kuleuven.ac.be

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A.M. Mouazen

A.M. Mouazen Department of Agro-Engineering and -Economics, Faculty of Agricultural and Applied Biological Sciences, Kasteelpark Arenberg 30, B-3001 Heverlee, Belgium wouter.saeys@agr.kuleuven.ac.be

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, and

H. Ramon

H. Ramon Department of Agro-Engineering and -Economics, Faculty of Agricultural and Applied Biological Sciences, Kasteelpark Arenberg 30, B-3001 Heverlee, Belgium wouter.saeys@agr.kuleuven.ac.be

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Type:: Chapter

Pages:: 131â138

DOI:: https://doi.org/10.3920/978-90-8686-548-2_016

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In this research the feasibility of a mobile VISNIR spectroscopy instrument (Zeiss Corona 45 VISNIR fibre remote) for on-site and on-line analysis of hog manure was investigated. The sensor was calibrated using the one-out cross-validation technique on a set of hog manure samples collected in the spring of 2004 and validated for its âtrueâ prediction accuracy on a set of samples collected in the spring of 2003 from different Flemish farms.

Dry matter content (DM), organic matter content (OM), total nitrogen (N), ammonium nitrogen (NH₄-N), phosphorus (P), magnesium (Mg), potassium (K) and calcium (Ca) were predicted on the prediction set with R2 values of 0.91, 0.90, 0.86, 0.76, 0.75, 0.80, 0.69 and 0.59, and RPD values of 3.22, 3.00, 2.63, 2.00, 1.78, 1.84, 1.68 and 1.30, respectively.

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Precision Livestock Farming â05

E-Book ISBN:: 9789086865482

Publisher:: Wageningen Academic

Print Publication Date:: 10 Oct 2005

Subjects
- Life Sciences
  - General
  - Animal & Veterinary

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Potential for on-site and on-line analysis of hog manure using visual and near-infrared reflectance spectroscopy

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Precision Livestock Farming â05

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