Volume 4, Issue 3, September 2018, Page: 100-107
Applying Infrared Technique as a Nondestructive Method To Assess Wheat Grain Hardness
Ayman Ibrahim, Department of Agricultural Bio-Engineering Systems, Agricultural Engineering Research Institute (AEnRI), Agricultural Research Center (ARC), Dokki, Giza, Egypt
Adrienne Csúr Varga, Crop Production Institute, Szent Istvan University, Gödöllő, Hungary
Márton Jolánkai, Crop Production Institute, Szent Istvan University, Gödöllő, Hungary
Ferenc Safranyik, Department of Mechanics and Technical Drawing, Faculty of Mechanical Engineering, Szent István University, Gödöllő, Hungary
Received: May 15, 2018;       Accepted: May 29, 2018;       Published: Jun. 28, 2018
DOI: 10.11648/j.ijsqa.20180403.16      View  608      Downloads  31
Abstract
Hardness, of wheat grains, is one of the most important quality characteristics used in wheat classification and determination of its marketing value. So, the key objective of this investigation applies a non-destructive method like infrared technique as an alternative method of destructive methods to assess hardness of wheat grains. The hardness characteristic was measured by two destructive methods Single-Kernel Characterization System (SKCS) and Instron Universal Testing Machine (IUTM), as reference values. Infrared technique was used to develop NIR calibration and validation model using the partial least squares (PLS) regression to assess wheat grain hardness. The best calibration and validation model for assess hardness of wheat grains were observed throughout the reference method Instron Universal Testing Machine (IUTM) within the wavelength range 950 to 1650 nm with 6 principal components (PCs) and pretreatment by Savitzky-Golay second derivative (S.G. 2nd). Where, the optimum PLS was recorded at the lowest standard error of prediction (SEP) 3.92 N with the maximum value of coefficient of prediction (R2P ≈ 0.91) and sufficient value of the relative prediction deviation (RPD ≈ 3.35). The accuracy of the prediction model was sufficient to use NIRS technique as a nondestructive method to estimate hardness of wheat grains for different varieties of the wheat.
Keywords
Wheat Quality, Hardness, Near Infrared (NIR), Partial Least Squares (PLS) Regression
To cite this article
Ayman Ibrahim, Adrienne Csúr Varga, Márton Jolánkai, Ferenc Safranyik, Applying Infrared Technique as a Nondestructive Method To Assess Wheat Grain Hardness, International Journal of Science and Qualitative Analysis. Vol. 4, No. 3, 2018, pp. 100-107. doi: 10.11648/j.ijsqa.20180403.16
Copyright
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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