Browse > Article

Determination of Calibration Curve for Total Nitrogen Contents Analysis in Fresh Rice Leaves Using Visible and Near Infrared Spectroscopy  

Kwon Young-Rip (Jeollabuk-do Agricultural Research and Extension Services)
Baek Mi-Hwa (Jeollabuk-do Agricultural Research and Extension Services)
Choi Dong-Chil (Jeollabuk-do Agricultural Research and Extension Services)
Choi Joung-Sik (Jeollabuk-do Agricultural Research and Extension Services)
Choi Yeong-Geun (Jeollabuk-do Agricultural Research and Extension Services)
Publication Information
KOREAN JOURNAL OF CROP SCIENCE / v.50, no.6, 2005 , pp. 394-399 More about this Journal
Abstract
Near Infrared Spectroscopy (NIRS) has been used as a tool for the rapid, accurate and nondestructive assay of the fresh rice leaf in nitrogen content. NIRS used in this study was visible and near infrared spectroscopy type instrument, Foss model 6500. To obtain a useful calibration equation, standard regression between the data was analyzed by chemical analysis and by NIRS method. Accuracy of calibration equation for nitrogen content on fresh leaf of rice were 0.879, 0.858 and 0.819, respectively. Accuracy of calibration equation after outlier treatment increased as 0.017, 0.02 and 0.061 improved each with 0.896, 0.878 and 0.880, respectively. Calibration equation combined using merge function after accuracy of calibration equation more increased by 0.911. Difference analysis value between calibration equation and lab value by kjeldahl showed $0.001\%$. With this as same result is the possibility of closing the deterioration of the sample in order to omit a construction and pulverization process it is judged with the fact that the nitrogen content measurement of the fresh rice leaf which the possibility of reducing an hour and an expense is by a near infrared spectroscopy technique will be possible.
Keywords
rice; NIRS; fresh leaf; nitrogen; calibration;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Dardenne, P., R. Agneessens. and G. Sinnaeve. 1995. Fresh forage analysis by near infrared spectroscopy. Near infrared spectroscopy : The future waves. 531-536
2 Marten, G. C., J. L. Halgerson, and J. H. Cherney. 1983. Quality prediction of small grain forage by near infrared reflectance spectroscopy. Crop Sci. 23: 94-96   DOI
3 Williams, P. C., H. M. Corderiro, and M. F. T. Hamden. 1991. Analysis of oat bran products by near infrared reflectance spectroscopy. Cereal Foods World. 36: 571-574
4 Blanco, A., D. Alomar, and R. Fuchslocher. 1995. Prediction by near infrared spectroscopy of the content of white clover(Trifolium repens) and perennial ryegress(Lolium perenne) in fresh or dry mixtures made up from pure botanical samples. Proceedings ofthe 10th international conference. 299-302
5 Abrams, S. M., J. S. Shenk, M. O. Westerhaus, and F. E. Barton. 1987. Determination of forage quality by near infrared reflectance spectroscopy : Efficiency of broad-based calibration equations. J. Diary Sci. 70: 806-813   DOI
6 Park, K. H., C. H. Pyun, and J. P. Han. 2004, Development of a digital chlorophyll meter II. Manufacturing of digital chlorophyll meter. Korean J. Crop Sci. 49: 198-199
7 Zhang, G. C., S. H. Seo, Y. B. Kang, X. R. Han, and W. C. Park. 2004. Determination of nitrogen in fresh and dry leaf of apple by near infrared technology. Korean Soc. of Soil Science and Fertilizer. 37: 259-265
8 Hymowitz, T., J. W. Dudley, F. I. Collins, and C. M. Brown. 1974. Estimation of protein and oil concentration in com, soybean, and oat seed by near infrared light reflectance. Crop Sci. 14: 713-715   DOI
9 Shenk. J. S., I. Landa, M. R. Hoover, and H. O. Westerhaus. 1981. Description and evalution of a near infrared reflectance spectrocomputer for forage and grain analysis. Crop Sci. 21: 355-358   DOI
10 Rubenthaler, G. L. and B. L. Bruinsma. 1979. Lysine estimation in cereals by near infrared reflectance. Crop Sci. 19: 1039-1042
11 Berardo, N., C. Cunico, A. Tava, and M. Odoardi. 1995. Broad calibration for measuring nutritive value of fresh forage species. Leaping ahead with near infrared spectroscopy. 231-234
12 Lee, H. B., B. R. Choi, C. S. Kang, Y. H. Kim, and Y. J. Choi. 2001. Determination of seed protein and oil concentration in kiddny bean by near infrared spectroscopic analysis. Korean J. Crop Sci. 46: 248-252
13 Clarke, M. A., E. R. Arias, and C. McDonald-Lewis. 1992. Near infrared analysis in the sugarcane factory. Sugary Azucar. pres. at Ruspam Commun. Inc. USA
14 De La Roza, B., A. Martinez, S. Modrono, and B. Santos. 1995. Determination of the quality of fresh silages by near infrared reflectance spectroscopy. Near infrared spectroscopy: The future waves. 537-541