@inproceedings{38d6df9c11c04cd5913774b7b9ba5f27,
title = "Analysis of soil phosphorus concentration based on Raman spectroscopy",
abstract = "Raman spectra signature can provide structural information based on vibrational transitions of irradiated molecules. In this work, the quantity reflecting mechanism of soil phosphorus concentration was studied based on Raman spectroscopy. 15 sand soil samples with different phosphate content were made in laboratory and the Raman signatures were measured. The relationship between sand soil Phosphorus concentration and soil Raman spectra was explored. Then the effective Raman signal was extracted from the original Raman spectra by using bior4.4 wavelet packet. The relationship between sand soil phosphorus and their extracted signals was analyzed and the PLS (Partial Least Squares) model for predicting phosphorus concentration in the soil was established and compared. The maximum accuracy model comes from the extracted effective Raman spectra after the first level decomposing. The calibration R2 was close to 1 and the validation R2 reached to 0.937. It showed high potential in soil phosphorus detecting by using Raman spectroscopy.",
keywords = "PLS, Phosphorus concentration, Predicting model, Raman spectroscopy, Soil",
author = "Lihua Zheng and Lee, {Won Suk} and Minzan Li and Anurag Katti and Ce Yang and Han Li and Hong Sun",
year = "2012",
doi = "10.1117/12.977436",
language = "English (US)",
isbn = "9780819492661",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
booktitle = "Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications IV",
address = "United States",
note = "Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications IV Conference ; Conference date: 30-10-2012 Through 31-10-2012",
}