Evaluation of Optimal Wavelet De-noising Parameters to Predict Nutrient Content in Oil Palm Leaves using Spectroradiometer

In order to reduce excessive fertiliser application, a non-destructive method of spectral data acquisition using spectroradiometer with wavelet analysis was explored determine the level nutrients in oil palm leaves. analysis, de-noising (WD) can be applied remove background noises and other disturbances such as scattered light that may affect results data. Therefore, this study aims evaluate best combination parameters for WD, respect nitrogen (N), phosphorus (P) potassium (K). These were studied three age groups immature, mature, old palms. The evaluated based on highest value coefficient determination (R2) lowest root mean square error (RMSE) partial least regression (PLSR) analysis. prediction nutrient content correlation found have tremendous improvement proposed technique when compared original spectra, R2 0.99 K mature palms, 0.97 N immature palms 0.95 P WD better than from chemometric namely multiplicative scatter correction (MSC). It observed each type maturity level, there different suited them. assisted optimal gives excellent relationship between N, P, K.