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Environmental Chemistry Letters : Volume 7, Issue 1, February 2009

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Evaluation of soil fertility using infrared spectroscopy: a review

Content Provider	Springer Nature Link
Author	Du, Changwen Zhou, Jianmin
Copyright Year	2008
Abstract	Soil fertility is conventionally evaluated by soil properties such as C, N, and P contents. Evaluation of soil fertility is now becoming a routine work for soil management and crop production. However, laboratory-analysis based determination of soil properties is time and cost consuming, which is not suitable for precision agriculture. Here, infrared spectroscopy (IR) appears as an alternative and fast technique to measure soil fertility. The IR transmission method is generally used in soil qualitative analysis, while the IR reflectance can be used in soil quantitative analysis, and most of soil-related research is focused on reflectance spectroscopy. Infrared reflectance spectra, including diffuse reflectance spectra and total attenuated reflectance spectra, are involved in soil quantitative analysis. We observe an excellent performance of predicting soil C and N contents using IR spectra. Moreover, in most of cases the predictions of the contents of soil P, K, Ca, Mg, S, and some other microelements are satisfactory. Soil water, soil clays, and soil microbes can also be characterized and evaluated using IR spectroscopy. In recent years, a new method named infrared photoacoustic spectra was applied in soil analysis. Infrared-photoacoustic spectra is indeed more convenient for sample pretreatment and spectra recording, and the recorded soil spectra contain more useful information versus conventional reflectance spectroscopy. Though currently the application of infrared photoacoustic spectroscopy in soil analysis is limited, it appears promising to measure soil fertility. The application of infrared spectroscopy in soil fertility is largely dependent on spectra pretreatment and multivariate calibration due to strong interferences in the spectra. Partial least square (PLS) and artificial neural network (ANN) are two widely used mathematical tools in the prediction of soil properties, and more mathematical tools combined models will benefit the prediction performance. To make full use of soil infrared spectra, soil spectra library construction is needed in future, and a standard procedure should be first decided in the construction. Based on soil infrared spectra library soil fertility can be fast evaluated combining suitable mathematical model, which will play an important role in the sustainable agriculture.
Starting Page	97
Ending Page	113
Page Count	17
File Format	PDF
ISSN	16103653
Journal	Environmental Chemistry Letters
Volume Number	7
Issue Number	2
e-ISSN	16103661
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2008-08-29
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Soil fertility Sustainable agriculture Infrared spectroscopy Reflectance spectra Photoacoustic spectra Multivariate calibration Partial least square Artificial neural network Environmental Chemistry Ecotoxicology Pollution Analytical Chemistry Geochemistry
Content Type	Text
Resource Type	Article
Subject	Environmental Chemistry

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