Open AccessNear Infrared Technology in Agricultural Sustainability: Rapid Prediction of Nitrogen Content from Organic Fertilizer
Author(s) -
Agus Arip Munawar,
Sufardi Sufardi,
Mustaqimah Mustaqimah,
Agus Arip Munawar
Publication year - 2022
Publication title -
transdisciplinary journal of engineering and science
Language(s) - English
Resource type - Journals
ISSN - 1949-0569
DOI - 10.22545/2022/00167
Subject(s) - absorbance , calibration , fertilizer , leverage (statistics) , near infrared spectroscopy , environmental science , analytical chemistry (journal) , mathematics , chemistry , statistics , environmental chemistry , chromatography , physics , organic chemistry , quantum mechanics
Presented study employs the near infrared reflectance (NIRS) as a rapid and effective sensing technology in detecting and determining quality parameter of organic fertilizer in form of nitrogen content (N). a total of 10 organic fertilizers were used as samples made from agricultural waste. Near infrared spectra data were acquired and measured as absorbance for all samples in wavenumbers range 5,000 – 11,000 cm-1. On the other hand, actual N content was measured by means of standard laboratory procedures. Spectra data were corrected using de-trending second order (DT-2), standard normal variate (SNV) and combination of them (SNV+DT). Moreover, prediction models for N content determination were developed using principal component regression (PCR) followed by leverage cross validation. The results showed that N content can be predicted rapidly without involving chemical materials with maximum coefficient of determination are 0.98 for calibration and 0.95 for validation phase respectively. It may conclude that sensing technology based on NIRS can be applied as a rapid and effective method for N determination of organic fertilizers.