Journal of the Korean Society for Nondestructive Testing (비파괴검사학회지)

The Korean Society for Nondestructive Testing (한국비파괴검사학회)
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Development of On-line Sorting System for Detection of Infected Seed Potatoes Using Visible Near-Infrared Transmittance Spectral Technique

가시광 및 근적외선 투과분광법을 이용한 감염 씨감자 온라인 선별시스템 개발

  • 김대용 (충남대학교 바이오시스템기계공학과) ;
  • 모창연 (농촌진흥청 농업공학부) ;
  • 강점순 (부산대학교 원예학과) ;
  • 조병관 (충남대학교 바이오시스템기계공학과)
  • Received : 2014.02.17
  • Accepted : 2014.11.11
  • Published : 2015.02.28
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Abstract

In this study, an online seed potato sorting system using a visible and near infrared (40 1100 nm) transmittance spectral technique and statistical model was evaluated for the nondestructive determination of infected and sound seed potatoes. Seed potatoes that had been artificially infected with Pectobacterium atrosepticum, which is known to cause a soil borne disease infection, were prepared for the experiments. After acquiring transmittance spectra from sound and infected seed potatoes, a determination algorithm for detecting infected seed potatoes was developed using the partial least square discriminant analysis method. The coefficient of determination($R^2_p$) of the prediction model was 0.943, and the classification accuracy was above 99% (n = 80) for discriminating diseased seed potatoes from sound ones. This online sorting system has good potential for developing a technique to detect agricultural products that are infected and contaminated by pathogens.

본 연구에서는 온라인 감염 씨감자 비파괴선별 시스템을 구축하고 감염 씨감자 선별을 위한 통계적 모델을 개발하여 적용함으로써 선별시스템의 성능을 평가하였다. 선별모델 개발을 위해 토양병 및 잠복 감염의 대표적인 병원성 세균인 pectobacteruim atrosepticum을 인위적으로 씨감자에 감염시켜 씨감자 내부에 병징이 발현되도록 하여 실험하였다. 구축된 선별시스템을 통해 감염 및 정상 씨감자의 투과스펙트럼을 획득한 후 최소자승판별법(partial least square-discriminant analysis)을 이용하여 감염 씨감자 검출모델을 개발하였다. 개발된 모델의 검정결정계수는($R^2$) 0.943이었고 분류의 정확도는 99%(n=80) 이상으로 우수한 선별성능을 보였다. 개발된 온라인 감염 씨감자 선별시스템은 씨감자 선별뿐만 아니라 다양한 농산물의 감염을 검출하는 기반기술로 응용이 가능할 것으로 판단된다.

Keywords

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