欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
提出了一种用可见一近红外光谱技术快速无损鉴别茶叶品种的新方法。应用可见一近红外光谱仪测定5个品种茶叶的光谱曲线，用主成分分析法对不同品种茶叶进行聚类分析并获得茶叶的可见一近红外光谱数据的主成分，再结合人工神经网络技术建立模型进行品种鉴别。主成分分析表明，以主成分1和2对所有建模样本的得分值做出的得分图，对不同种类茶叶具有较好的聚类作用，可以定性分析茶叶种类。把主成分分析得到的前6个主成分作为神经网络的输入，茶叶品种值作为神经网络的输出，通过5个茶叶品种共125个样本的训练和学习，建立了茶叶品种鉴别的3层BP人工神经网络模型，对未知的25个样本进行鉴别，品种识别准确率达到100％。说明本文提出的方法具有很好的分类和鉴别作用，为茶叶的品种快速鉴别提供了一种新方法。
英文摘要：
A new method for the discrimination of varieties of tea by means of visible/near infrared spectroscopy （Vis/NIRS） （325-1 075 nm） was developed. A relation has been established between the reflectance spectra and the tea varieties. The data set consists of a total of 150 samples of tea. First, the data was analyzed with principal component analysis（PCA）. It appeared to provide the reasonable clustering of the varieties of tea. Meanwhile PCA compressed hundreds of spectral data into a small quantity of principal components which described the body of the spectra; the first 6 principal components computed by PCA were applied as inputs to a back propagation neural network with one hidden layer. One hundred twenty five samples from five varieties were selected randomly, then they were used to build BP-ANN model. This model has been used to predict the varieties of 25 unknown samples; the residual error for the calibration samples is 1. 267 × 10^-4. The recognition rate of 100% was achieved. This model is reliable and practicable. So this paper could offer a new approach to the fast discrimination of varieties of tea.
同期刊论文项目
同项目期刊论文
Nondestructive measurement and fingerprint analysis of soluble solid content of tea soft drink based
Study on the relationship between spectral properties of oilseed rape leaves and their chlorophyll c
Spectral characterization and N content prediction of soil with different particle size and moisture
Variation rules of the nitrogen content of the oilseed rape at growth stage using SPAD and visible-N
Determination of Protein Content of Auricularia auricula Using Near Infrared Spectroscopy Combined w
Application of Successive Projections Algorithm to Nondestructive Determination of Total Amino Acids
Application of image texture for the sorting of tea categories using multi-spectral imaging techniqu
Chlorophyll assessment and sensitive wavelength exploration for tea (Camellia sinensis) based on ref
Non-destructive discrimination of paddy seeds of different storage age based on Vis/NIR spectroscopy
Discriminating varieties of tea plant based on Vis/NIR spectral characteristics and using artificial
Detecting the quality of glycerol monolaurate: A method for using Fourier transform infrared spectro
Study on Application of Multi-Spectral Image Texture to Discriminating Rice Categories Based on Wave
期刊信息
位置：