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There are 13 papers published in subject: > since this site started. |
Results per page: | 13 Total, 2 Pages | << First < Previous 1 2 |
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1. Quantification of Nitrogen Status in Oilseed Rape by Least-Squares Support Vector Machines and Reflectance Spectroscopy | |||
He Yong,Cen Haiyan ,Bao Yidan ,Huang Min | |||
Agronomy 14 December 2007 | |||
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Abstract:The estimation of nitrogen status non-destructively in oilseed rape in a crop-growing period was performed using reflectance spectroscopy with least-squares support vector (LS-SVM). This study was conducted at the experiment farm of Zhejiang University, Hangzhou, China. The SPAD value was used as a reference data that reflects nitrogen status in oilseed rape. A total of 159 oilseed rape leaf samples were used for visible and near infrared reflectance spectroscopy at 325-1075 nm using a field spectroradiometer. The reflectance data processed by median filter was applied for LS-SVM regression model to predict SPAD values. The performance of LS-SVM with RBF kernel function and five input variables derived from scores of partial least squares (PLS) latent variables (LVs) was investigated. To serve this purpose, the grid-search technique using 5-fold cross-validation was used to find out the optimal values of two important parameters in LS-SVM regression model. At the same time, LS-SVM model was compared with PLS and back propagation neural network (BPNN) methods. The results showed that LS-SVM was superior to the conventional linear and non-linear methods in predicting SPAD values of oilseed rape leaves. It is concluded that LS-SVM regression method is a promising technique for chemometrics in the field of quantitative prediction. | |||
TO cite this article:He Yong,Cen Haiyan ,Bao Yidan , et al. Quantification of Nitrogen Status in Oilseed Rape by Least-Squares Support Vector Machines and Reflectance Spectroscopy[OL].[14 December 2007] http://en.paper.edu.cn/en_releasepaper/content/16936 |
2. Hyperspectral laser-induced fluorescence imaging for nondestructive assessing soluble solids content of orange | |||
Liu Muhua,Shufen Hu,Huaiwei Lin,Enyou Guo | |||
Agronomy 12 February 2007 | |||
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Abstract:Fluorescence imaging is a promising technique for assessing postharvest quality of fruit. This paper reports on using a hyperspectral laser-induced fluorescence imaging technique for measurement soluble solids content (SSC) of orange fruit. A continuous wave laser (632 nm) was used as an excitation source for inducing fluorescence in oranges. Fluorescence scattering images were acquired from ‘Nanfeng’ oranges by a hyperspectral imaging system at the instance of laser illumination (0 min) in range of 700-1000nm. The hyperspectral fluorescence image data were represented by mean spectra of sub-image. The fruit soluble solids content were measured using hand-held refractometer. A line regressing method was used for developing prediction models to predict fruit soluble solids content. Excellent predictions were obtained for soluble solids content with the correlation coefficient of prediction of R=0.999(training sample)and R=0.998 (validation sample). The results show that hyperspectral laser-induced fluorescence imaging is a very good method for nondestructive assessing soluble solids content of orange. | |||
TO cite this article:Liu Muhua,Shufen Hu,Huaiwei Lin, et al. Hyperspectral laser-induced fluorescence imaging for nondestructive assessing soluble solids content of orange[OL].[12 February 2007] http://en.paper.edu.cn/en_releasepaper/content/11134 |
3. Technological Optimization for Hydrolysis of Ryegrass Leaf Protein Concentration with Alcalase | |||
Liu Yan,Xue Zhenglian | |||
Agronomy 30 October 2006 | |||
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Abstract:Through single factors and L9 (34) Orthogonal experiment, the limited process of hydrolysis for ryegrass leaf protein concentration (RLPC) with alcalase was studied systematically. The optimum conditions were established, which including hydrolyzing temperature (45℃), the proportions of E/S (1750 units per gram), pH (10.5) and reaction time (10 hours). The profiles of High Performance Liquid Chromatography (HPLC) showed that there were 7 kinds of peptides in the protein hydrolysates under the best hydrolysis conditions, their relative molecular weights were between 102u and 14502u, the content of peptides which average molecular weight was 249u had the highest propotion which was 21.13%. The profiles of Automatic Amino Acid Analyzer (AAAA) showed that the total content of free amino acid in hydrolysates was 3.233%, the proportion of essential amino acid in total amino acid was 30.776%, the proportion of sapor amino acid was 38.324%, and the proportion of drug-effective amino acid was 75.286%. In addition, the results indicated that the concentration of hydrolyzed ryegrass leaf protein could be used as an additive in food industry potentially. | |||
TO cite this article:Liu Yan,Xue Zhenglian. Technological Optimization for Hydrolysis of Ryegrass Leaf Protein Concentration with Alcalase[OL].[30 October 2006] http://en.paper.edu.cn/en_releasepaper/content/9130 |
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