농업과학연구 (Korean Journal of Agricultural Science)

  • 제39권1호
  • /
  • Pages.117-123
  • /
  • 2012
  • /
  • 2466-2402(pISSN)
  • /
  • 2466-2410(eISSN)
충남대학교 농업과학연구소 (Institute of Agricultural Science, CNU)
권호 표지
DOI QR코드

DOI QR Code

광 반사방식을 이용한 감염 씨감자 비파괴 선별 기술 개발

Development of non-destructive measurement method for discriminating disease-infected seed potato using visible/near-Infrared reflectance technique

  • 김대용 (충남대학교 바이오시스템기계공학과) ;
  • 조병관 (충남대학교 바이오시스템기계공학과) ;
  • 이윤수 (강원대학교 식물자원응용공학과)
  • Kim, Dae-Yong (Department of Biosystems Machinery Engineering, Chungnam National University) ;
  • Cho, Byoung-Kwan (Department of Biosystems Machinery Engineering, Chungnam National University) ;
  • Lee, Youn-Su (Department of Applied Plant Sciences, Kangwon National University)
  • 투고 : 2012.03.02
  • 심사 : 2012.03.23
  • 발행 : 2012.03.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Pathogenic fungi and bacteria such as Pectobacterium atrosepticum, Clavibacter michiganensis subsp. sepedonicus, Verticillium albo-atrum, and Rhizoctonia solani were the major microorganism which causes diseases in seed potato during postharvest process. Current detection method for disease-infected seed potato relies on human inspection, which is subjective, inaccurate and labor-intensive method. In this study, a reflectance spectroscopy was used to classify sound and disease-infected seed potatoes with the spectral range from 400 to 1100 nm. Partial least square discriminant analysis (PLS-DA) with various preprocessing methods was used to investigate the feasibility of classification between sound and disease-infected seed potatoes. The classification accuracy was above 97 % for discriminating disease seed potatoes from sound ones. The results show that Vis/NIR reflectance method has good potential for non-destructive sorting for disease-infected seed potatoes.

키워드

참고문헌

  1. Alexandrakis D, Downey G, Scannell AGM. 2008. Detection and identification of bacteria in an isolated system with near-infrared spectroscopy and multivariate analysis. J. Agric. Food Chem. 56: 3431-3437. https://doi.org/10.1021/jf073407x
  2. Cho M, Jeong WD, Yoon JY. 2007. Application of UV Technology for Surface Disinfection. J. of KSEE. 29(9): 1020-1026. [in Korean]
  3. ElMasry G, Wang N, Vigneault C, Qiao J, ElSayed A. 2008. Early detection of apple bruises on different background colors using hyperspectral imaging. LWT 41: 337-345. https://doi.org/10.1016/j.lwt.2007.02.022
  4. Kim CH, Kim YK. 2002. Present status of soilborne disease incidence and scheme for Its integrated management in Korea. Res. Plant Dis. 8(3): 146-161. [in Korean] https://doi.org/10.5423/RPD.2002.8.3.146
  5. Kim DY, Cho BK, Kim YS. 2010. Prediction of internal quality for cherry tomato using hyperspectral reflectance imagery. Food Engineering Progress 15(4): 324-331. [in Korean]
  6. Kim DY, Ahn CK, Back IS, Kim JG, Cho BK, Lee YS, Kim YS. 2011. Study on discrimination of disease-infected seed potatoes using transmittance and reflectance spectra. Proceedings of the KSAM 2011 Summer Conference 16(2): 469-474. [in Korean]
  7. Lee KJ, Kang SW, Choi KH. 2004. Nondestructive quality measurement of fruits and vegetables using near-infrared spectroscopy. Food Engineering Progress 8(3): 158-169. [in Korean]
  8. Lim JG, Kang SW, Lee KJ, Mo CY, Son JY. 2011. Identification of foreign objects in soybeans using near-infrared spectroscopy. Food Engineering Progress. 15(2): 136-142. [in Korean]
  9. Min TK, Kang WS. 2008. Nondestructive Classification of viable and nonviable radish (Raphanus sativus L.) seeds using single seed near infrared spectroscopy. Hort. Environ. Biotechnol. 49(1): 42-46.
  10. Jang HL, Hong JY, Kim NJ, Kim MH, Shin SR, Yoon KY. 2011. Comparison of nutrient components and physicochemical properties of general and colored potato. Kor. J. Hort. Sci. Technol. 29(2): 144-150. [in Korean]
  11. Ryu DS, Hwang IG, Noh SH. 2000. Pre-processing techniques on VIS/NIR spectral data for non-destructive quality evaluation of fruits. Proceedings of the Korean Society Agricultural Machinery 2000 Winter Conference 5(1): 451-456. [in Korean]
  12. Woo YA, Kim HJ, Chung HI. 1999. Classification of cultivation area of ginseng radix with NIR and Raman spectroscopy. Analyst 124: 1223-1226. https://doi.org/10.1039/a902396h
  13. Xie L, Ying Y, Ying T, Yu H, Fu X. 2007. Discrimination of transgenic tomatoes based on visible/near-infrared spectra. Analytica Chimica Acta 584(2007): 379-384. https://doi.org/10.1016/j.aca.2006.11.071

피인용 문헌

  1. Development of On-line Sorting System for Detection of Infected Seed Potatoes Using Visible Near-Infrared Transmittance Spectral Technique vol.35, pp.1, 2015, https://doi.org/10.7779/JKSNT.2015.35.1.1
  2. Rapid monitoring of the fermentation process for Korean traditional rice wine ‘Makgeolli’ using FT-NIR spectroscopy vol.73, 2015, https://doi.org/10.1016/j.infrared.2015.09.007