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1. Design and Experiment of Rind-pith Separating Equipment for Corn Stalk | |||
WANG Defu | |||
Agronomy 10 August 2011 | |||
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Abstract:For enhancing applied value of corn stalk, a separation equipment is designed. For deciding the parameters of key mechanisms of the equipment, main factors affecting leaf-stripping mechanism and pith-stripping mechanism were researched by valuation indexes of leaf-stripping percentage and pith-stripping percentage. By experiments, the suitable parameters in structure and motion of key mechanisms were obtained. By deciding these key mechanisms, the equipment was designed and experimented in the field, about 95% of leaf-stripping percentage and pith-stripping percentage was obtained. | |||
TO cite this article:WANG Defu. Design and Experiment of Rind-pith Separating Equipment for Corn Stalk[OL].[10 August 2011] http://en.paper.edu.cn/en_releasepaper/content/4438272 |
2. Farm Information measurement and control by Using Wireless Remote Methods | |||
He Yong,Qiu Zhengjun | |||
Agronomy 14 December 2007 | |||
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Abstract:GSM is one of most important technology in wireless communication system, which contains three main services of short message, speech communication and data communication. Aiming at the feature of farm information acquisition of large quantity information, real-time and working in field, the paper combined the GSM module with farm information acquisition, and advanced a new farm information measurement system using wireless communication technology namely GSM technology. The measurement system became more convenient after GSM technology putting to use. The system includes GPS receiver, moisture sensor, a device which was designed by programming of single chip computer to measure soil moisture and positioning, two GSM wireless communication modules and a computer. The system could realize the function of transmitting the farm information to laboratory in the forms of GSM short message, and solved the problem of limitation of information storage and the inconvenience of carrying a datalogger device to the farmland. | |||
TO cite this article:He Yong,Qiu Zhengjun . Farm Information measurement and control by Using Wireless Remote Methods[OL].[14 December 2007] http://en.paper.edu.cn/en_releasepaper/content/16955 |
3. 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 |
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