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. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
He, Y., Song, H., Pereira, A. G., & Gómez, A. H. (2005). A new approach to predict N, P, K and OM content in a loamy mixed soil by using near infrared reflectance spectroscopy. In Lecture Notes in Computer Science (Vol. 3644, pp. 859–867). Springer Verlag. https://doi.org/10.1007/11538059_89
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