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IJSTR >> Volume 9 - Issue 8, August 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Impact of Near Infrared Spectra Corrections to The Prediction Performance of Soil Macro Nutrients

[Full Text]

 

AUTHOR(S)

Yuswar Yunus, Devianti, Purwana Satriyo, Agus Arip Munawar

 

KEYWORDS

Spectra, NIRS, Soil, Agriculture, Macro nutrient, prediction, technology.

 

ABSTRACT

This present study aimed to apply and compare three different spectra data correction methods to the overall prediction performance of near infrared calibration models used to determine soil macro nutrients. Those three spectra correction methods are: de-trending (DT), mean centering (MC) and Savitzky-Golay smoothing (SGS). Near infrared spectra data of soil samples were measured and recorded in wavelength range from 1000 to 2500 nm. Soil samples were collected in 5 and 20 cm depth respectively in rice field area in Aceh Besar district, Aceh Province. Moreover, calibration models were built to predict soil macro nutrients in form of Nitrogen (N) and Calcium (Ca). Partial least square (PLS) regression was employed to construct those models. The results showed that spectra corrections provided a better prediction performance compared to un-corrected spectra (raw). The maximum determination coefficient achieved were 0.94 for N prediction, and 0.97 for Ca prediction respectively. Thus, it may conclude that spectra corrections definitely affected to the overall prediction performances of soil macro nutrient contents.

 

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