Version 1
: Received: 20 September 2017 / Approved: 21 September 2017 / Online: 21 September 2017 (04:36:21 CEST)
How to cite:
Kim, G.; Hong, S.; Lee, A.; Lee, Y.; Im, S. Moisture Content Measurement of Broadleaf Litters using Near-Infrared Spectroscopy Technique. Preprints2017, 2017090099. https://doi.org/10.20944/preprints201709.0099.v1
Kim, G.; Hong, S.; Lee, A.; Lee, Y.; Im, S. Moisture Content Measurement of Broadleaf Litters using Near-Infrared Spectroscopy Technique. Preprints 2017, 2017090099. https://doi.org/10.20944/preprints201709.0099.v1
Kim, G.; Hong, S.; Lee, A.; Lee, Y.; Im, S. Moisture Content Measurement of Broadleaf Litters using Near-Infrared Spectroscopy Technique. Preprints2017, 2017090099. https://doi.org/10.20944/preprints201709.0099.v1
APA Style
Kim, G., Hong, S., Lee, A., Lee, Y., & Im, S. (2017). Moisture Content Measurement of Broadleaf Litters using Near-Infrared Spectroscopy Technique. Preprints. https://doi.org/10.20944/preprints201709.0099.v1
Chicago/Turabian Style
Kim, G., Ye-Eun Lee and Sangjun Im. 2017 "Moisture Content Measurement of Broadleaf Litters using Near-Infrared Spectroscopy Technique" Preprints. https://doi.org/10.20944/preprints201709.0099.v1
Abstract
Near-infrared spectroscopy (NIRS) was implemented to monitor the moisture content of broadleaf litters. Partial least-squares regression (PLSR) models, incorporating optimal wavelength selection techniques, have been proposed to better predict the litter moisture of forest floor. Three broadleaf litters were used to sample the reflection spectra corresponding the different degrees of litter moisture. Maximum normalization preprocessing technique was successfully applied to remove unwanted noise from the reflectance spectra of litters. Four variable selection methods were also employed to extract the optimal subset of measured spectra for establishing the best prediction model. The results showed that the PLSR model with the peak of beta coefficients method was the best predictor among all candidate models. The proposed NIRS procedure is thought to be a suitable technique for on-the-spot evaluation of litter moisture.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
