Browse > Article
http://dx.doi.org/10.5307/JBE.2004.29.4.335

Internal Quality Estimation of Korean Red Ginseng Using VIS/NIR Transmittance Spectrum  

손재룡 (National Institute of Agricultural Engineering, RDA)
이강진 (National Institute of Agricultural Engineering, RD)
김기영 (National Institute of Agricultural Engineering, RD)
강석원 (National Institute of Agricultural Engineering, RD)
최규홍 (National Institute of Agricultural Engineering, RD)
장익주 (Dept. of Bio-Industrial March Engineering, Kyunypook National University)
Publication Information
Journal of Biosystems Engineering / v.29, no.4, 2004 , pp. 335-340 More about this Journal
Abstract
This study was conducted to evaluate the internal quality of Korean red ginseng using VIS/NIR transmittance spectra. To classify the internal qualities, partial least squares(PLS) regression was conducted. The main results are as follows: To develop the PLS model, several wave bands were divided and incorporated into the model. Among the bands, the wavelength range of 550-1,020nm, excluded noise signal, showed the best evaluation results. Effect of step size on the performance of quality evaluation showed optimal at 15 steps. In order to enhance the accuracy of quality evaluation, the abnormal spectrum shape was considered first and then the PLS model was applied. Among the 150 samples, 12 samples were evaluated by the spectrum shape. In this study, to develop the optimal PLS regression model, among the 150 samples, 138 samples was used with exception of 12 samples which could evaluate the spectrum shape. The result of quality evaluation was promising as SEC and correlation coefficient were 1.09 and 0.967, respectively, and SEP and correlation coefficient were 1.04 and 0.958, respectively.
Keywords
Red ginseng; Quality evaluation; Spectroscopy; VIS; NIR; PLS;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Kim, C. S., J. H. Lee, S. J. Park and M. H. Kim. 1998. Automatic Grading Algorithm for White Ginseng. Proc. KSAM Winter Conference. pp. 450-457
2 Kim, S. M., J. K. Lim and C. S. Kim. 2001. Feasibility of Resonance Imaging for Quality and Age Identification of Fresh Ginseng (Panax ginseng C.A. Meyer). Proc. of the KSAM Winter Conference. pp. 379-386
3 Lee, K. J., W. R. Hruschka, J. A. Abbott, S. H. Noh and B. S. Park. 1998a. Predicting the Soluble Solids of Apples by Near Infrared Spectroscopy(Part 1). J. Korean Society for Agricultural Machinery. 23(6). pp. 561-570
4 황인근. 2000. VIS/NIR 분광분석법에 의한 사과(후지)의 온라인 당 . 산도 선별시스템 개발. 서울대학교 박사학위 논문
5 Kim, S. M., P. Chen, M. J. McCarthy and B. Zion. 1999. Fruit Internal Quality Evaluation using On-line Nuclear Magnetic Resonance Sensors. J. Agri. Engng Res. 74. pp. 293-301
6 Kim, C. S. and J. Y. Lee. 1997. Computer Vision System for Automatic Grading of Ginseng. Proc. KSAM Winter Conference. pp. 401-408
7 Lee, S. J., J. G. Lim, S. M. Kim and C. S. Kim. 2001. Nuclear Magnetic Resonance Characteristics of Korean Red Ginsengs. Proc. KSAM Summer Conference. pp. 255-260
8 Kawano, S., T. Fujiwara and M. lwamoto. 1993. Nondestructive Determination of Sugar Content in Satsume Mandarin using Near Infrared(NIR) Transmittance. J. Jpn. Soc. Hort. Sci. 62(2). pp. 465-470
9 Choi, C. H., K. J. Lee and B. Park. 1997. Prediction of Soluble Solid and Firmness in Apple by Visible/Near-infrared Spectroscopy. J. Korean Society for Agricultural Machinery. 22(2). pp. 256-265
10 Son, J. R., K. H. Choi, K. J. Lee, D. S. Choi and G. Kim. 2003. X-ray Image Processing for the Korea Red Ginseng Inner Hole Detection(II) 一Results of inner hole detection -. Journal of the Korean Society for Agricultural Machinery 28(1):45-52.(in Korean)
11 Son, J. R., K. H. Choi, K. J. Lee, D. S. Choi and G. Kim. 2002. X-ray Image Processing for the Korea Red Ginseng Inner Hole Detection(I) - Preprocessing technique for inner hole detection -. Journal of the Koream society for Agricultural Machinery 27(4):341-348.(in Korean)
12 Jang, Y. H., D. I. lang, S. H. Bang and Y. I. Lim. 2000. Development of an Algorithm of Image Processing for the Shape Sorting System of RedGinseng. Proc. KSAM Winter Conference. pp. 430-435
13 Kim, S. M. and J. K. Lim. 2003. Analysis of Magnetic Resonance Characteristics and Images of Korean Red Ginseng. J. Korean Society for Agricultural Machinery. 28(3). pp. 253-260
14 Lim, J. G., C. S. Kim and S. M. Kim. 2002. Magnetic Resonance Imaging of Red Ginsengs. Proc. KSAM Winter Conference. pp. 450-456
15 Son, J. R., K. J. Lee, D. S. Choi, G. Kim, S. Kang and I. J. Jang. 2004. Characteristics of Transmittance Spectrum of Korean Red Ginseng using VIS/NIR. Proc. KSAM Winter Conference. pp. 460-463
16 Lee, K. J., W. R. Hruschka, J. A. Abbott, S. H. Noh and B. S. Park. 1998b. Predicting the Soluble Solids of Apples by Near Infrared Spectroscopy(Part 2). J. Korean Society for Agricultural Machinery. 23(6). pp. 571-582