CAJ | 학술논문

田间烟叶色素含量的光谱无损快速测量，对烟草营养生长期的营养诊断与长势监测、成熟期的烟叶品质评判具有重要的生产指导意义。该研究的目的是利用烟叶田间光谱估测烟叶的叶绿素和类胡萝卜素含量。研究采集了营养生长期和成熟期烟叶田间反射光谱，测量了样品烟叶的色素含量，利用支持向量机（SVM ）和光谱指数法，对营养生长期和成熟期烟叶样品用分期建模和混合建模两种方法建立色素含量估测模型，并对模型的预测性能进行比较。研究结果表明，分期建模和混合建模对于烟叶色素含量的估测效果差异不显著。对于叶绿素含量，SVM和光谱指数法均有较好的估测效果；对于类胡萝卜素含量，SVM 方法比光谱指数法具有更高的估测精度。采用SVM方法对烟叶样品的叶绿素含量分期建模得到的估测决定系数和均方根误差分别为0.8629和0.0155，对叶绿素含量混合建模得到的估测决定系数和均方根误差分别为0.8985和0.0123；采用S V M方法对烟叶样品类胡萝卜素含量分期建模得到的估测决定系数和均方根误差分别为0.8730和0.0024，对类胡萝卜素含量混合建模得到的估测决定系数和均方根误差分别为0.8527和0.0024。该研究的创新点是通过支持向量机和光谱指数法采用分期建模以及混合建模的方式建立了烟叶样品色素含量的估测模型，为烟草田间生产的质量控制、烟叶的采收品质保证提供科学依据和技术支持。
전간연협색소함량적광보무손쾌속측량，대연초영양생장기적영양진단여장세감측、성숙기적연협품질평판구유중요적생산지도의의。해연구적목적시이용연협전간광보고측연협적협록소화류호라복소함량。연구채집료영양생장기화성숙기연협전간반사광보，측량료양품연협적색소함량，이용지지향량궤（SVM ）화광보지수법，대영양생장기화성숙기연협양품용분기건모화혼합건모량충방법건립색소함량고측모형，병대모형적예측성능진행비교。연구결과표명，분기건모화혼합건모대우연협색소함량적고측효과차이불현저。대우협록소함량，SVM화광보지수법균유교호적고측효과；대우류호라복소함량，SVM 방법비광보지수법구유경고적고측정도。채용SVM방법대연협양품적협록소함량분기건모득도적고측결정계수화균방근오차분별위0.8629화0.0155，대협록소함량혼합건모득도적고측결정계수화균방근오차분별위0.8985화0.0123；채용S V M방법대연협양품류호라복소함량분기건모득도적고측결정계수화균방근오차분별위0.8730화0.0024，대류호라복소함량혼합건모득도적고측결정계수화균방근오차분별위0.8527화0.0024。해연구적창신점시통과지지향량궤화광보지수법채용분기건모이급혼합건모적방식건립료연협양품색소함량적고측모형，위연초전간생산적질량공제、연협적채수품질보증제공과학의거화기술지지。
Fast and non‐destructive measurements of tobacco leaf pigment contents by spectroscopy in situ in the field has great significance in production guidance for nutrient diagnosis and growth monitoring of tobacco in vegetative growth stage ,and it is also very important for the quality evaluation of tobacco leaves in mature stage .The purpose of this study is to estimate the chlo‐rophyll and carotenoid contents of tobacco leaves using tobacco leaf spectrum collected in the field .Reflectance spectrum of to‐bacco leaves in vegetative grow th stage and mature stage were collected in situ in the field and the pigment contents of tobacco leaf samples were measured in this study ,taking the tobacco leaf samples collected in each and both stages as modeling sets re‐spectively ,and using the methods of support vector machine (SVM ) and spectral indice to establish the pigment content estima‐tion models ,and then compare the prediction performance of the models built by different methods .The study results indicated that the difference of estimation performance by each stage or mixed stages is not significant .For chlorophyll content ,SVM and spectral indice modeling methods can both have a well estimation performance ,while for carotenoid content ,SVM modeling method has a better estimation performance than spectral indice .The coefficient of determination and the root mean square error of SVM model for estimating tobacco leaf chlorophyll content by each stage were 0.867 6 and 0.014 7 ,while the coefficient of determination and the root mean square error of SVM model for estimating tobacco leaf chlorophyll content by mixed stages were 0.898 6 and 0.012 3 ;The coefficient of determination and the root mean square error for estimating tobacco leaf carotenoid con‐tent by each stage were 0.861 4 and 0.002 5 ,while the coefficient of determination and the root mean square error of SVM model for estimating tobacco leaf carotenoid content by mixed stages were 0.839 9 and 0.002 5 .The innovation point of this study is that on the basis of support vector machine and spectral indice ,models established by each stage and mixed stages for estimating the pigment contents of tobacco leaf samples can provide scientific basis and technical support for quality control of tobacco leaf production in field and the ensurance of tobacco leaf recovery quality .