A novel non-integer order Savitzky-Golay derivative function of visible and near-infrared spectra for improving prediction accuracy of phosphorus in pig manure
- Author
- Jian Zhang and Abdul Mouazen (UGent)
- Organization
- Project
- Abstract
- Prediction of phosphorus (P) content in manure using visible and near infrared (vis-NIR) spectroscopy is essential for better manure management. However, accurate prediction requires better spectra pre-processing, out of which spectra derivative is frequently used. This study presents the development of a non-integer order SavitzkyGolay derivative function (NISGDF) of vis-NIR spectra for the analysis of P composition in manure. A formula for a NISGDF is developed and presented in the form of a matrix. Next, both quantitative and qualitative analyses were performed using developed software packages, all of which can be easily called by a command line. Simulated absorption bands using the Gaussian model were operated by NISGDF to assess its abilities in reduction of noise and elimination of baseline and offset. A total of 110 pig manure samples were collected and scanned by a fibre type vis-NIR spectrophotometer in the range of 305-1700 nm. The collected manure spectra were subjected to the NISGDF, before they were used to establish the partial least squares regression (PLSR) model for P. Results indicate that the NISGDF offers significant flexibility in interpolating between the integer order SG derivatives, and reduces baseline offsets and tilts compared to conventional integer order SavitzkyGolay derivative function (ISGDF). The PLSR prediction accuracy with NISGDF was improved by 5-8%, compared with the corresponding PLSR model using the traditional ISGDF. This work shows that the NISGDF offers the advantage of wider applicability and better performance for the prediction of manure P, hence, it is recommended as a more general and better algorithm than the traditional ISGDF for the prediction of P.
- Keywords
- Manure management, Vis-NIR spectroscopy, Spectra -pre-processing, Phosphorous, REFLECTANCE, SPECTROSCOPY, ONLINE, QUALITY
Downloads
-
(...).pdf
- full text (Published version)
- |
- UGent only
- |
- |
- 4.79 MB
-
CHEMOM manuscript.pdf
- full text (Accepted manuscript)
- |
- open access
- |
- |
- 939.79 KB
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01HAKD7WWTJQ15MA4ART0G9MCG
- MLA
- Zhang, Jian, and Abdul Mouazen. “A Novel Non-Integer Order Savitzky-Golay Derivative Function of Visible and near-Infrared Spectra for Improving Prediction Accuracy of Phosphorus in Pig Manure.” CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, vol. 240, 2023, doi:10.1016/j.chemolab.2023.104917.
- APA
- Zhang, J., & Mouazen, A. (2023). A novel non-integer order Savitzky-Golay derivative function of visible and near-infrared spectra for improving prediction accuracy of phosphorus in pig manure. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 240. https://doi.org/10.1016/j.chemolab.2023.104917
- Chicago author-date
- Zhang, Jian, and Abdul Mouazen. 2023. “A Novel Non-Integer Order Savitzky-Golay Derivative Function of Visible and near-Infrared Spectra for Improving Prediction Accuracy of Phosphorus in Pig Manure.” CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 240. https://doi.org/10.1016/j.chemolab.2023.104917.
- Chicago author-date (all authors)
- Zhang, Jian, and Abdul Mouazen. 2023. “A Novel Non-Integer Order Savitzky-Golay Derivative Function of Visible and near-Infrared Spectra for Improving Prediction Accuracy of Phosphorus in Pig Manure.” CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 240. doi:10.1016/j.chemolab.2023.104917.
- Vancouver
- 1.Zhang J, Mouazen A. A novel non-integer order Savitzky-Golay derivative function of visible and near-infrared spectra for improving prediction accuracy of phosphorus in pig manure. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. 2023;240.
- IEEE
- [1]J. Zhang and A. Mouazen, “A novel non-integer order Savitzky-Golay derivative function of visible and near-infrared spectra for improving prediction accuracy of phosphorus in pig manure,” CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, vol. 240, 2023.
@article{01HAKD7WWTJQ15MA4ART0G9MCG, abstract = {{Prediction of phosphorus (P) content in manure using visible and near infrared (vis-NIR) spectroscopy is essential for better manure management. However, accurate prediction requires better spectra pre-processing, out of which spectra derivative is frequently used. This study presents the development of a non-integer order SavitzkyGolay derivative function (NISGDF) of vis-NIR spectra for the analysis of P composition in manure. A formula for a NISGDF is developed and presented in the form of a matrix. Next, both quantitative and qualitative analyses were performed using developed software packages, all of which can be easily called by a command line. Simulated absorption bands using the Gaussian model were operated by NISGDF to assess its abilities in reduction of noise and elimination of baseline and offset. A total of 110 pig manure samples were collected and scanned by a fibre type vis-NIR spectrophotometer in the range of 305-1700 nm. The collected manure spectra were subjected to the NISGDF, before they were used to establish the partial least squares regression (PLSR) model for P. Results indicate that the NISGDF offers significant flexibility in interpolating between the integer order SG derivatives, and reduces baseline offsets and tilts compared to conventional integer order SavitzkyGolay derivative function (ISGDF). The PLSR prediction accuracy with NISGDF was improved by 5-8%, compared with the corresponding PLSR model using the traditional ISGDF. This work shows that the NISGDF offers the advantage of wider applicability and better performance for the prediction of manure P, hence, it is recommended as a more general and better algorithm than the traditional ISGDF for the prediction of P.}}, articleno = {{104917}}, author = {{Zhang, Jian and Mouazen, Abdul}}, issn = {{0169-7439}}, journal = {{CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS}}, keywords = {{Manure management,Vis-NIR spectroscopy,Spectra -pre-processing,Phosphorous,REFLECTANCE,SPECTROSCOPY,ONLINE,QUALITY}}, language = {{eng}}, pages = {{10}}, title = {{A novel non-integer order Savitzky-Golay derivative function of visible and near-infrared spectra for improving prediction accuracy of phosphorus in pig manure}}, url = {{http://doi.org/10.1016/j.chemolab.2023.104917}}, volume = {{240}}, year = {{2023}}, }
- Altmetric
- View in Altmetric
- Web of Science
- Times cited: