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A New Approach to Predict N, P, K and OM Content in a Loamy Mixed Soil by Using Near Infrared Reflectance Spectroscopy.

Authors :
Huang, De-Shuang
Zhang, Xiao-Ping
Huang, Guang-Bin
He, Yong
Song, Haiyan
Pereira, Annia García
Gómez, Antihus Hernández
Source :
Advances in Intelligent Computing (9783540282266); 2005, p859-867, 9p
Publication Year :
2005

Abstract

Near Infrared Reflectance (NIR) spectroscopy technique was used to estimate N, P, K and OM content in a loamy mixed soil of Zhejiang, Hangzhou. A total of 165 soil samples were taken from the field, 135 samples spectra were used during the calibration and cross-validation stage. 30 samples spectra were used to predict N, P, K and OM concentration. NIR spectra and constituents were related using Partial Least Square Regression (PLSR) technique. The r between measured and predicted values of N and OM, were 0.925 and 0.933 respectively, demonstrated that NIR spectroscopy have potential to predict accurately this constituents in this soil, not being this way in the prediction of P and K with r, 0.469 and 0.688 respectively, demonstrated a poorly for P and a less successfully for K prediction. The result also shows that NIR could be a good tool to be combined with precision farming application. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540282266
Database :
Complementary Index
Journal :
Advances in Intelligent Computing (9783540282266)
Publication Type :
Book
Accession number :
32883069
Full Text :
https://doi.org/10.1007/11538059_89