Rapid and non-destructive prediction of C-organic in agricultural soil using near infrared reflectance spectroscopy (NIRS)

Darusman Darusman, Zulfahrizal Zulfahrizal, Agus Arip Munawar

Abstrak


Soil organic carbon (C-organic) is one of main of soil quality which affects the assortment of organic materials and mixtures properties of soils. This C-organic also have a practical value and importance in agriculture. To determine C-organic, normally, conventional and laborious procedures were employed. Yet, this method is expensive, time consuming, involve chemical materials and may cause pollution. Thus, alternative fast and environmental friendly method is required to determine C-organic in soil. The near infrared reflectance spectroscopy (NIRS) technique can be considered to be applied, since this method is fast, nondestructive, simple preparation and pollution free. Therefore, the main objective of this present study is apply NIRS technique in predicting C-organics and classifying soils based on geographical characteristics. Soil samples from 4 different site locations were taken spectra data of these samples were acquired in wavenumbers range of 4000-10 000 cm -1 . C-organic prediction model was developed using NIR spectra data and partial least square regression (PLS), while classification model was established using principal component analysis (PCA). The results showed that Soil characteristics from 4 different locations can be classified with total explained variance of PCA was 99% (PC1 = 88% and PC2 = 11%). Moreover, NIRS technique was able to predict C-organic with maximum correlation coefficient (r) was 0.93 and residual predictive deviation (RPD) index was 3.22 which categorized as excellent prediction model performance. It may conclude that NIRS technique can be applied as a rapid and non-destructive method in predicting C-organic and classifying soil characteristics.

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