NDLI: The rapid detection of undisturbed soil moisture content based on BPNN

Content Provider	IEEE Xplore Digital Library
Author	XiuYing Liang XiaoYu Li TingWu Lei
Copyright Year	2010
Description	Author affiliation: Huazhong Agricultural University(HZAU), Wuhan, Hubei, 430070, China (XiuYing Liang; XiaoYu Li) \|\| State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, CAS and MWR, Yangling, Sha'anxi, 712100, China (TingWu Lei)
Abstract	As soil moisture prediction model with the whole near-infrared spectral regions is complex and the single-band prediction model is susceptible to environmental impact, a three-wavelength method for measuring undisturbed soil moisture content (MC) rapidly was proposed based on BP artificial neural networks in this study. A total of 115 soil samples were collected and the NIR reflectance spectra of all soil samples were measured. The spectral data were transformed to new spectral data with logarithmic transformation and logarithmic of reciprocal transformation. The spectral wavelengths that is sensitive and insensitive to soil MC were selected by correlation coefficient method. The models for prediction of undisturbed soil MC were developed based on BP neural networks(BPNN) with the sensitive spectral wavelengths and insensitive spectral wavelength. The results show that the prediction precision of the models was high and the determination $coefficients(R^{2})$ of the best prediction accuracy of the models reached 0.982 with the root mean square error of prediction( RMSEP) of 1.0402%. Thus, it is concluded that the methods used in this paper are available for rapid detection of undisturbed soil MC and also provide theoretical basis for developing a low-cost portable near-infrared moisture meter.
Starting Page	1910
Ending Page	1913
File Size	215547
Page Count	4
File Format	PDF
ISBN	9781424459582
e-ISBN	9781424459612
DOI	10.1109/ICNC.2010.5584657
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Reflectivity Correlation Soil measurements Absorption Soil moisture three wavelengths undisturbed soil moisture content Predictive models BP artificial neural networks NIR spectroscopy
Content Type	Text
Resource Type	Article

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