Total nitrogen estimation of paddy soil using visible and near infrared spectroscopy

Siti Noor Aliah Baharom, . and Jusnaini Muslimin, . and Badril Hisham Abu Bakar, . and Muhammad Zamir Abdul Rasid, . and Ramlan Ismail, . and Mohd Zamri Khairi Abdullah, . and Muhammad Shukri Hassan, . Total nitrogen estimation of paddy soil using visible and near infrared spectroscopy. pp. 1-10. ISSN 2735-1084

The current soil nutrient estimation method is laborious repetitive time consuming and costly making it less efficient for large-scale soil fertility assessment in precision agriculture practice. This paper discussed the feasibility of visible and near-infrared (Vis-NIR) spectroscopy as an alternative method for rapid measurement of total nitrogen in the soil which is more efficient for a huge paddy field area. For this purpose Vis-NIR reflectance spectra (350 “ 1750 nm) were acquired on 200 soil samples using spectrometers. Partial Least Squares Regression (PLSR) with full (leave-one-out) cross-validation was used to develop the calibration model between the Vis-NIR soil spectra and the total nitrogen obtained by chemical analysis in laboratory. The coefficient of determination (Rval) and residual prediction deviation (RPD) of the developed calibration model for total nitrogen (Ntot) was 0.78 and 1.86 respectively. The predicted total nitrogen map generated based on the Vis-NIR spectroscopy was comparable with the laboratory analysiss measured map. This result indicates that the Vis-NIR infrared spectroscopy is the potential to be used for total nitrogen estimation in soil.

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Abstract

The current soil nutrient estimation method is laborious repetitive time consuming and costly making it less efficient for large-scale soil fertility assessment in precision agriculture practice. This paper discussed the feasibility of visible and near-infrared (Vis-NIR) spectroscopy as an alternative method for rapid measurement of total nitrogen in the soil which is more efficient for a huge paddy field area. For this purpose Vis-NIR reflectance spectra (350 “ 1750 nm) were acquired on 200 soil samples using spectrometers. Partial Least Squares Regression (PLSR) with full (leave-one-out) cross-validation was used to develop the calibration model between the Vis-NIR soil spectra and the total nitrogen obtained by chemical analysis in laboratory. The coefficient of determination (Rval) and residual prediction deviation (RPD) of the developed calibration model for total nitrogen (Ntot) was 0.78 and 1.86 respectively. The predicted total nitrogen map generated based on the Vis-NIR spectroscopy was comparable with the laboratory analysiss measured map. This result indicates that the Vis-NIR infrared spectroscopy is the potential to be used for total nitrogen estimation in soil.

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Item Type:	Article
AGROVOC Term:	Paddy soil
AGROVOC Term:	Soil analysis
AGROVOC Term:	Soil sampling
AGROVOC Term:	Near infrared spectroscopy
AGROVOC Term:	Soil nutrient content
AGROVOC Term:	Nitrogen
AGROVOC Term:	precision agriculture
Depositing User:	Mr. AFANDI ABDUL MALEK
Last Modified:	24 Apr 2025 00:55
URI:	http://webagris.upm.edu.my/id/eprint/10117

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