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Classification of Germinatable Mung Bean by Near Infrared Hyperspectral Imaging

Authors: Kaewkarn Phuangsombat, Arthit Phuangsombat, Anupun Terdwongworakul


Hard seeds will not grow and can cause mold in sprouting process. Thus, the hard seeds need to be separated from the normal seeds. Near infrared hyperspectral imaging in a range of 900 to 1700 nm was implemented to develop a model by partial least squares discriminant analysis to discriminate the hard seeds from the normal seeds. The orientation of the seeds was also studied to compare the performance of the models. The model based on hilum-up orientation achieved the best result giving the coefficient of determination of 0.98, and root mean square error of prediction of 0.07 with classification accuracy was equal to 100%.

Keywords: Mung bean, near infrared, germinatability, hard seed.

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[1] T. El-Adawy, E. Rahma, A. El-Bedawey, and A. El-Beltagy, “Nutritional potential and functional properties of germinated mung bean, pea and lentil seeds,” Plant Food Hum. Nutr., 2003, 58, pp. 1–13.
[2] Y. Y. Lee, J. B. Kim, S. Y. Lee, M. H. Kim, J. W. Lee, H. S. Lee, H.C. Ko, D. Y. Hyun, J. G. Gwag, C. K. Kim, and Y. B. Lee, “Determination of seed fatty acids using near-infrared reflectance spectroscopy (NIR) in mung bean (Vigna radiata) germplasm.” Korean J. Food N., 2010, 23(4), pp. 582–587.
[3] L. J. Wang, S. C. Liu, Y. Yao, G. X. Ren, and X. Z. Cheng, “The development of near-infrared reflectance spectroscopy (NIRS) prediction model for the quality components of flour and intact seed in mungbean,” J. Plant Genet. Resour., 2013, 14(5), pp. 833–838.
[4] C. B. Singh, D. S. Jayas, J. Paliwa, and N. D. G. White, “Detection of insect-damaged wheat kernels using near-infrared hyperspectral imaging,” J. Stored Prod Res., 2009, 45(3), pp. 151–58.
[5] R. P. Cogdill, , C. R. Hurburgh, G. R. Rippke, S. J. Bajic, R. W. Jones, J. F. McClelland, T. C. Jensen, and J. Liu, “Single-kernel maize analysis by near-infrared hyperspectral imaging,” T ASAE, 2004, 47(1), pp. 311–320.
[6] C. McGoverin, and M. Manley, “Classification of maize kernel hardness using near infrared hyperspectral imaging,” J Near Infrared Spec, 2012, 20(5), pp. 529–535.
[7] S. Kaliramesh, V. Chelladurai, D. S. Jayas, K. Alagusundaram, N. D. G. White, and P. G. Fields, “Detection of infestation by Callosobruchus maculatus in mung bean using near-infrared hyperspectral imaging,” J Stored Prod Res., 2013, 52, pp. 107–111.
[8] P. Williams, “Grains and seeds,” in Near-Infrared Spectroscopy in Food Science and Technology, Y. Ozaki, W. F. McClure, and A. A. Christy, Eds. John Wiley & Sons, 2007, pp. 165–217.
[9] F. M. Rodriguez, and E. M. T. Mendoza, “Physicochemical basis for hardseededness in mung bean (Vigna radiata (L.) Wilczek),” J. Agr. Food Chem, 1990, 38(1), pp. 29–32.