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Titlebook: Computer and Computing Technologies in Agriculture VI; 6th IFIP TC WG 5.14 Daoliang Li,Yingyi Chen Conference proceedings 2013 IFIP Intern

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Particle Swarm Optimization Algorithm Establish the Model of Tobacco Ingredients in Near Infrared Spectra, the range of 4000-9000 wavenumber of spectral information was selected after wavelength selection, first-order differential was used to eliminate the impact of offset, PCA was used to reduce the dimensions and select the most representative of the principal components of the sample informati
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Grain Moisture Sensor Data Fusion Based on Improved Radial Basis Function Neural Network,uch as temperature, species, compaction and so on. The data confusion method of Radial Basis Function (RBF) nerve network is adopted. With improved orthogonal optimal method, the RBF nerve network’s weight factors can be obtained. This method can avoid artificially selected the number of hidden unit
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Application of Quadratic Rotation-Orthogonal Composite Experimental Design to Assess the Relationshted by multilateral growth environmental factors including illumination, temperature, humidity, and moisture. The influence models of four factors on luminescence were established. Analysis showed that different factors and their interactions had different effect on luminous value, among which the i
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Application of Quadratic Rotation-Orthogonal Composite Experimental Design to Assess the Relationsh tree seedings affected by multilateral growth environmental factors. The influence models of four factors on luminescence were established including illumination, temperature, humidity, and moisture. The ANOVA (analysis of variance) analysis showed that different factors and their interaction had d
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Research on Prediction Model and Characteristic Parameters on Dry Matter Accumulation in Wheat Basees each in a field experiment. Five simulation models with high correlation coefficients for relative dry matter accumulation were established by the method of normalized. Among these models, the Richards equation was the best in fitting and forecasting, i.e., . = 1.1435/(1 + e.)., . = 0.9927. Corre
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