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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.
- 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