【摘要】 基于近红外(near infrared,NIR)漫反射光谱分析技术对库尔勒香梨中的脱萼果和宿萼果进行了自动化判别试验研究。用对不同波段范围、不同光谱预处理方法(MSC、SNV、微分光谱)和不同主成分因子数对香梨类别判别结果的影响进行了对比分析,建立了香梨类别的定性判别模型。研究结果表明:用判别分析(discri mant analysis,DA)方法在9091~4000cm-1范围结合原始光谱建立的DA判别模型最优,该方法对校正集正确分类率达100%,预测集正确分类率为95%。更多还原

【Abstract】 A method was developed to automatically discriminate the persistent calyx fruit and fruit without calyx of fragrant pear by means of near infrared spectroscopy(NIRS).The prediction performance of different band regions range,different principal component numbers and different preprocessing methods of the spectra(multiplicative signal correction,standard normal variate,and derivative spectra)together with discriminant analysis(DA)was also investigated,and The calibration model was established to classify the different kinds of fragrant pear.The research results for the fragrant pear classification showed that DA calibration models using these parameters with band regions between 9 091 and 4 000 cm-1 and original spectra are optimal,with the percentage of correct sample classification being 100% and 95% for the calibration and validation set,respectively.更多还原