DocumentCode :
3378193
Title :
Evaluating Soil Organic Matter with visible spectroscopy
Author :
Song, Haiyan ; He, Yong
Author_Institution :
Coll. of Biosystems Eng. & Food Sci., Zhejiang Univ., Hangzhou
Volume :
2
fYear :
2005
fDate :
16-19 May 2005
Firstpage :
1321
Lastpage :
1324
Abstract :
This study was conducted to develop fundamental relationships between soil organic matter and their visible reflectance spectra. The ultimate goal of this work is to develop a real-time soil property sensor for use in effective farm management. A total of 43 soil samples collected from 0-20 cm depth were used for analysis. Organic matter in soils was analyzed by conventional method in a laboratory. Visible reflectance spectra of the samples were measured by a spectrophotometer in the range of 325 to 1100 nm with a 1 nm increment. Partial least square analysis was used to build prediction models with a calibration data set of 34 randomly chosen samples. The remaining 9 samples were used to validate the models. The prediction models for measured organic matter yielded r2 values of 0.7312. This result could be useful in the development of soil property sensor for site-specific management
Keywords :
agriculture; chemical sensors; soil; spectrochemical analysis; spectrophotometry; visible spectroscopy; 0 to 20 cm; 325 to 1100 nm; calibration data set; farm management; partial least square analysis; real-time soil property sensor; soil organic matter; spectrophotometer; visible reflectance spectra; visible spectroscopy; Laboratories; Least squares methods; Linear regression; Predictive models; Reflectivity; Sensor phenomena and characterization; Soil measurements; Soil properties; Spectroscopy; Wavelength measurement; Partial Least Square; Visible reflectance; soil organic matter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE
Conference_Location :
Ottawa, Ont.
Print_ISBN :
0-7803-8879-8
Type :
conf
DOI :
10.1109/IMTC.2005.1604362
Filename :
1604362
Link To Document :
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