The Effect of Representative Dataset Selection on Prediction of Chemical Composition for Corn kernel by Near-Infrared Reflectance Spectroscopy |
Choi, Sung-Won
(Korea Spectral Products)
Lee, Chang-Sug (Korea Spectral Products) Park, Chang-Hee (Korea Spectral Products) Kim, Dong-Hee (Korea Spectral Products) Park, Sung-Kwon (National Institute of Animal Science, RDA) Kim, Beob-Gyun (Department of Animal Science and Technology, Konkuk University) Moon, Sang-Ho (Division of Food Bio Science, Konkuk University) |
1 | AOAC. 2005. Official methods of analysis (16th ed.), Association of Official Analytical Chemist, Arlington, VA. Washington D.C., USA. |
2 | Chin, W.W. 1998. The Partial Least Squares Approach to Structural Equation Modeling. Modern Methods for Business Research. NJ: Lawrence Erlbaum Associates. Mahwah. pp. 295-336. |
3 | Park, H.S., Lee, J.K. and Lee, H.W. 2004. Applications of Near Infrared Reflectance Spectroscopy (NIRS) in Forage Evaluation. Journal of The Korean Society of Grassland Science. 24(1):81-90. 과학기술학회마을 DOI ScienceOn |
4 | Lee, H.W., Kim, J.D., Kim, W.H. and Lee, J.K. 2009. Prediction on the quality of forage crop by near infrared reflectance spectroscopy. Journal of The Korean Society of Grassland Science. 29(1):31-36. 과학기술학회마을 DOI ScienceOn |
5 | Martens, H. and Naes, T. 1990. Multivariate calibration. Journal of Chemometrics. 4(6):441. DOI |
6 | Norris, K.H., Barnes, R.E.F., Moore, J.E. and Shenk, J.S. 1976. Predicting forages quality by infrared reflectance spectroscopy. Journal of Animal Science. 43:889-897. |
7 | Park, H.S., Lee, J.K., Lee, H.W., Hwang, K.J., Jung, H.Y. and Ko, M.S. 2006. Effect of sample preparations on prediction of chemical composition for corn silage by near infrared reflectance spectroscopy. Journal of The Korean Society of Grassland Science. 26(1):53-62. 과학기술학회마을 DOI ScienceOn |
8 | Paul Gemperline. 2006. Practical Guide To Chemometrics, Second Edition. Taylor&Francis Group. London. pp. 168-211. |
9 | Varmuza, K. and Filzmoser, P. 2009. Introduction to Mutivariate Statistical Analysis in Chemometrics. Taylor & Francis Group. USA. pp. 103-190. |
10 | De Groot, P.J., Postma, G.J., Melssen, W.J. and Buydens, L.M.C. 1999. Selecting a representative training set for the classification of demolition waste using remote NIR sensing. Analytical chimica acta. 392:67-75. DOI ScienceOn |