Online measurement of contents in compound fertilizer and application research using VIS-NIR spectroscopy

Zhidan Lin; Yubing Wang; Rujing Wang; Jing Liu; Cuiping Lu; Liusan Wang

doi:10.1117/12.2199364

15 October 2015 Online measurement of contents in compound fertilizer and application research using VIS-NIR spectroscopy

Zhidan Lin, Yubing Wang, Rujing Wang, Jing Liu, Cuiping Lu, Liusan Wang

Author Affiliations +

Proceedings Volume 9674, AOPC 2015: Optical and Optoelectronic Sensing and Imaging Technology; 96741A (2015) https://doi.org/10.1117/12.2199364
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China

Abstract

The on-line measurement of the main component contents is essential for production, detection and identification of compound fertilizer. Using developed VIS-NIR sensors for on-line measurement of the main component contents in compound fertilizer, primary results about nitrogen (N), phosphorus pentoxide (P₂O₅) and potassium oxide (K₂O) were reported. A visible (VIS) and near infrared (NIR) spectrophotometer (Ocean Optics), with a measurement range of 360.18–2221.53 nm was used to measure fertilizer spectra in reflectance mode. By using principal component analysis (PCA) and mahalanobis distance method, 3 outlier samples were detected and eliminated from 174 samples firstly. Then these models of three components with the 124 samples in calibration set were established using principal component regress (PCR) and partial least squares regression (PLS) coupled respectively with the full cross-validation technique after preprocessing the original spectrum with different methods. These models were used to estimate the contents of N, P₂O₅ and K₂O of the other 47 samples in predicted set. The research results showed that the method could be applied to rapid measurement to the main component contents in compound fertilizer. Compared with the traditional analysis method, the on-line measurement could do it rapidly, inexpensively and pollution-freely. It suggested the potential use of the VIS–NIR sensing system for on-line measurement in the production, detection and identification process of compound fertilizer.

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Zhidan Lin, Yubing Wang, Rujing Wang, Jing Liu, Cuiping Lu, and Liusan Wang "Online measurement of contents in compound fertilizer and application research using VIS-NIR spectroscopy", Proc. SPIE 9674, AOPC 2015: Optical and Optoelectronic Sensing and Imaging Technology, 96741A (15 October 2015); https://doi.org/10.1117/12.2199364

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KEYWORDS

Calibration

Near infrared

Spectroscopy

Statistical modeling

Nitrogen

Potassium

Principal component analysis

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