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Home > Archives > Volume 20, No 8 (2022) > Article

DOI: 10.14704/nq.2022.20.8.NQ44174

RAPID AND NON-DESTRUCTIVE QUALITY ASSESSMENT OF AGRICULTURAL SOIL USING NEAR INFRARED SPECTROSCOPY

Devianti, Sufardi , Ramayanty Bulan, Agus Arip Munawar

Abstract

Presented works aimed to apply the near infrared reflectance (NIRS) technology in determining rapidly nitrogen content of agricultural soil. Judging from prediction performances, it seems that NIRS technology can predict the soil nitrogen content in various agricultural land-use and depths. Prediction performance can be improved by establishing models by means of pre-treatments like SNV and BSC methods. The correlation coefficient was improved from 0.71 using raw model, to 0.74 and 0.76 using SNV and BSC spectral data respectively. As a consequence, the prediction error was decreased. In term of ratio prediction to deviation (RPD) index, the model is categorized as sufficient prediction performance and still can be improved by employing hybrid spectra corrections or non-linear regression approach.

Keywords

Soil, prediction, nitrogen, agriculture, NIRS technology

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