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Devianti Devianti
Department of Agricultural Engineering, Universitas Syiah Kuala
Agriculture, Biological Sciences & Forestry Engineering

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Fast And Simultaneous Prediction Of Agricultural Soil Nutrients Content Using Infrared Spectroscopy Devianti Devianti; Zulfahrizal Zulfahrizal; Sufardi Sufardi; Agus Arip Munawar
Rona Teknik Pertanian Vol 12, No 1 (2019): Volume 12, No. 1, April 2019
Publisher : Department of Agricultural Engineering, Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17969/rtp.v12i1.11656

Abstract

Abstract. The functions soil depends on the balances of its structure, nutrients composition as well as other chemical and physical properties. Conventional methods, used to determine nutrients content on agricultural soil were time consuming, complicated sample processing and destructive in nature. Near infrared reflectance spectroscopy (NIRS) has become one of the most promising and used non-destructive methods of analysis in many field areas including in soil science. The main aim of this present study is to apply NIRS in predicting nutrients content of soils in form of total nitrogen (N). Transmittance spectra data were obtained from a total of 18 soil samples from 8 different sites followed by N measurement using standard laboratory method. Principal component regression (PCR) with full cross validation were used to develop and validate N prediction models. The results showed that N content can be predicted very well even with raw spectra data with coefficient correlation (r) and residual predictive deviation index (RPD) were 0.95 and 3.35 respectively. Furthermore, spectra correction clearly enhances and improve prediction accuracy with r = 0.96 and RPD = 3.51. It may conclude that NIRS can be used as fast and simultaneous method in determining nutrient content of agricultural soils.
Co-Authors Agus Arip Munawar Sufardi Sufardi Zulfahrizal Zulfahrizal