Please use this identifier to cite or link to this item:
|Type:||Artigo de periódico|
|Title:||Determination of organic matter in soil using near-infrared spectroscopy and partial least squares regression|
de Andrade, JC
|Abstract:||An alternative approach for the determination of organic matter content in soil is proposed, using near infrared spectroscopy and partial least squares regression for data modeling. This method was applied to two different types of soils: Oxisol and Ultisol. One hundred soil samples, collected at different depth intervals. with organic matter content from 0.40 to 4.83 mg g(-1) were obtained from the Instituto Agronomico (Campinas-Brazil). For test the reference data were obtained by titration of the excess of Cr(VI) with standard Fe(II) solution, after sample digestion with potassium dichromate in an acid medium in digestion tubes. The organic matter contents determined by the so called digestion tube method were also correlated with those obtained by near infrared spectroscopy, using partial least squares regression. A root mean squares error of prediction equal to 0,20 mg g(-1) was obtained, The digestion tube method was also compared with the Walkley-Black method for twelve soil samples and no difference in results for the organic matter determination was found.|
|Editor:||Marcel Dekker Inc|
|Citation:||Communications In Soil Science And Plant Analysis. Marcel Dekker Inc, v. 33, n. 41921, n. 1607, n. 1615, 2002.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.