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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 충남대학교 농업과학연구소 Korean Journal of Agricultural Science Korean Journal of Agricultural Science Vol.47 No.4
- 발행연도
- 2020.12
- 수록면
- 995 - 1,010 (16page)
이용수
초록· 키워드
오류제보하기
In this study, a multivariate analysis model of partial least square regression (PLSR) was developed to predict the moisture content of green peppers using hyperspectral imaging (HSI). In HSI, illumination is essential for high-quality image acquisition and directly affects the analytical performance of the visible near-infrared hyperspectral imaging (VIS/NIR-HSI) system. When green pepper images were acquired using a direct lighting system, the specular reflection from the surface of the objects and their intensities fluctuated with time. The images include artifacts on the surface of the materials, thereby increasing the variability of data and affecting the obtained accuracy by generating false-positive results. Therefore, images without glare on the surface of the green peppers were created using a polarization filter at the front of the camera lens and by exposing the polarizer sheet at the front of the lighting systems simultaneously. The results obtained from the PLSR analysis yielded a high determination coefficient of 0.89 value. The regression coefficients yielded by the best PLSR model were further developed for moisture content mapping in green peppers based on the selected wavelengths. Accordingly, the polarization filter helped achieve an uniform illumination and the removal of gloss and artifact glare from the green pepper images. These results demonstrate that the HSI technique with a polarized lighting system combined with chemometrics can be effectively used for high-throughput prediction of moisture content and image-based visualization.
목차
Abstract
Introduction
Material and Methods
Result and Discussion
Conclusion
References
참고문헌 (39)
참고문헌 신청
Arslan D / 2011 / Dehydration of red bell-pepper (Capsicum annuum L.): Change in drying behavior, colour and antioxidant content / Journal of Food and Bioproducts Processing 89:504~513
Jayanta Kumar Basak / 2019 / Regression Analysis to Estimate Morphology Parameters of Pepper Plant in a Controlled Greenhouse System / Journal of Biosystems Engineering 44(2):57~68
Blanco M / 2002 / NIR spectroscopy : A rapid-response analytical tool / Journal of Trends Analytical Chemistry 21:240~250
Burns DA / 2007 / Handbook of near-infrared analysis. II / Published Group
Clevers JGPW / 2008 / Using spectral information from the NIR water absorption for the retrieval of canopy water content / International Journal of Earth Observation and Geoinformation 10:388~397
Jayanta Kumar Basak / 2019 / Regression Analysis to Estimate Morphology Parameters of Pepper Plant in a Controlled Greenhouse System / Journal of Biosystems Engineering 44(2):57~68
Blanco M / 2002 / NIR spectroscopy : A rapid-response analytical tool / Journal of Trends Analytical Chemistry 21:240~250
Burns DA / 2007 / Handbook of near-infrared analysis. II / Published Group
Clevers JGPW / 2008 / Using spectral information from the NIR water absorption for the retrieval of canopy water content / International Journal of Earth Observation and Geoinformation 10:388~397
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