International Journal of Design & Nature and Ecodynamics, Journal Year: 2024, Volume and Issue: 19(4), P. 1405 - 1413

Published: Aug. 28, 2024

Soil organic carbon (SOC) or C-organic is a key component of soil quality that affects the properties materials and mixtures.It also holds practical value importance in agriculture.Traditionally, determining SOC has involved expensive time-consuming procedures require use chemicals may cause pollution.Therefore, there need for an alternative method fast, environmentally friendly, cost-effective, as they are important factors precision agriculture practices near infrared reflectance spectroscopy (NIRS) technique can be considered suitable option since it non-destructive, requires simple preparation, does not pollution.The main objective this study to apply NIRS predict levels classify soils based on geographical land-use characteristics.Soil samples were collected from four different locations, their spectra data acquired wavenumbers range 4000-10,000 cm -1 .A prediction model was developed using NIR partial least squares regression (PLSR) method, followed by k-fold cross-validation.The results demonstrated successfully predicted levels, with maximum correlation coefficient (r) 0.96 residual predictive deviation (RPD) index 4.05, indicating excellent performance.In conclusion, applied rapid nondestructive predicting classifying characteristics.

Language: Английский