지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2014.9
- 수록면
- 169 - 175 (7page)
이용수
초록· 키워드
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Objective of this study was to investigate effects of pre-processing method and number of sampling leaves on stability of the reflectance measurement for Chinese cabbage and kale leaves. Chinese cabbage and kale were transplanted and cultivated in a plant factory. Leaf samples of the kale and cabbage were collected at 4 weeks after transplanting of the seedlings. Spectra data were collected with an UV/VIS/NIR spectrometer in the wavelength region from 190 to 1130 nm. All leaves (mature and young leaves) were measured on 9 and 12 points in the blade part in the upper area for kale and cabbage leaves, respectively. To reduce the spectral noise, the raw spectral data were preprocessed by different methods: i) moving average, ii) Savitzky-Golay filter, iii) local regression using weighted linear least squares and a 1<SUP>st</SUP> degree polynomial model (lowess), iv) local regression using weighted linear least squares and a 2<SUP>nd</SUP> degree polynomial model (loess), v) a robust version of ‘lowess’, vi) a robust version of ‘loess’, with 7, 11, 15 smoothing points. Effects of number of sampling leaves were investigated by reflectance difference (RD) and cross-correlation (CC) methods. Results indicated that the contribution of the spectral data collected at 4 sampling leaves were good for both of the crops for reflectance measurement that does not change stability of measurement much. Furthermore, moving average method with 11 smoothing points was believed to provide reliable pre-processed data for further analysis.
목차
Abstract
I. Introduction
II. Materials and Methods
III. Results and Discussion
IV. Conclusions
References
참고문헌 (30)
참고문헌 신청
Bossu J / 2005 / Feasibility of a real-time weed detection system using spectral reflectance / Precision Agriculture 5:123~130
Chang CW / 2000 / Near-infrared reflectance spectroscopy-principal components regression analyses of soil properties / Soil Science Society of America Journal 65(2):480~490
정선옥 / 2011 / Estimation of Korean Paddy Field Soil Properties Using Optical Reflectance / Journal of Biosystems Engineering 36(1):33~39
Feyaerts F / 2001 / Multi-spectral vision system for weed detection / Pattern Recognition Letters 22(6-7):667~674
Fridgen JL / 2004 / Dependency of cotton leaf nitrogen, chlorophyll, and reflectance on nitrogen and potassium availability / Agronomy Journal 96(1):63~69
Chang CW / 2000 / Near-infrared reflectance spectroscopy-principal components regression analyses of soil properties / Soil Science Society of America Journal 65(2):480~490
정선옥 / 2011 / Estimation of Korean Paddy Field Soil Properties Using Optical Reflectance / Journal of Biosystems Engineering 36(1):33~39
Feyaerts F / 2001 / Multi-spectral vision system for weed detection / Pattern Recognition Letters 22(6-7):667~674
Fridgen JL / 2004 / Dependency of cotton leaf nitrogen, chlorophyll, and reflectance on nitrogen and potassium availability / Agronomy Journal 96(1):63~69
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UCI(KEPA) : I410-ECN-0101-2015-400-002751252