Fast And Simultaneous Prediction Of Agricultural Soil Nutrients Content Using Infrared Spectroscopy

Devianti Devianti, Zulfahrizal Zulfahrizal, Sufardi Sufardi, Agus Arip Munawar

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.


Keywords


infrared; soil; nitrogen; prediction; spectroscopy

References


T, Shi.., Yiyun, C., Yaolin, L., & Guofeng, L. (2014). Visible and near-infrared reflectance spectroscopy: An alternative for monitoring soil contamination by heavy metals. Journal of Hazardous Materials, 265, 166–176.

J. Wang, Lijuan, C., Wenxiu, C., Tiezhu, S., Yiyun, C., & Yin, G. (2014). Prediction of low heavy metal concentrations in agricultural soils using visible and near-infrared reflectance spectroscopy. Geoderma, 216, 1-9.

G. Senesi, & Senesi. N. (2016). Laser-induced breakdown spectroscopy to measure quantitatively soil carbon with emphasis on soil organic carbon. A review. Analytica Chimica Acta, 938, 7 – 17.

M.S Askari, Cui, J., O'Rourke, S.M., & Holden, N.M. (2015). Evaluation of soil structural quality using VIS–NIR spectra. Soil Tillage Res. 146 (Part A), 108–117.

A.M.R. Bieganowski, & Witkowska, B., (2010). Determination of soil aggregate disintegration dynamics using laser diffraction. Clay Miner. 45, 23–34.

H. Cen, & He, Y. (2007). Theory and application of near infrared reflectance spectroscopy in determination of food quality. Trends in Food Science & Technology, 18, 72-83.

B. M. Nicolai, Beullens, K., Bobelyn, E., Peirs, A., Saeys, W., Theron, K. I., & Lamertyn, J. (2007). Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: a review. Postharvest Biology and Technology, 46, 99-118.

A.A. Munawar, Hoersten, D.v., Pawelzik, E., Wegener, J.K & Moerlein, D. (2016). Rapid and non-destructive prediction of inner quality attributes of intact mango using Fourier-transform infrared and chemometrics. J. Engineering in Agriculture, Environment and Food, 9 (1): 208 – 215.




DOI: https://doi.org/10.17969/rtp.v12i1.11656

Refbacks

  • There are currently no refbacks.


Copyright (c) 2019 Rona Teknik Pertanian

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.


Creative Commons LicenseISSN: 2085-2614E-ISSN: 2528-2652
Copyright© 2009-2017 | ISSN: 2085-2614 | EISSN: 2528-2654
Rona Teknik Pertanian is licensed under a Creative Commons Attribution 4.0 International License.

 

Published by: 
Program Studi Teknik PertanianFakultas Pertanian, Universitas Syiah Kuala 
associated with Perhimpunan Teknik Pertanian Indonesia (Cabang Aceh). 
Jl. Tgk. Hasan Krueng Kalee No. 3, Kopelma Darussalam,
Banda Aceh, 23111, Indonesia.
Email: jronatp@unsyiah.ac.id


Online Submissions & Guidelines Editorial Policies | Contact Statistics Indexing | Citations