Computer and Computing Technologies in Agriculture II, by Xiyin Gao, Xinling Li, Qiang Song (auth.), Chunjiang Zhao,

By Xiyin Gao, Xinling Li, Qiang Song (auth.), Chunjiang Zhao, Daoliang Li (eds.)

International Federation for info Processing

The IFIP sequence publishes state of the art leads to the sciences and applied sciences of data and verbal exchange. The scope of the sequence contains: foundations of desktop technological know-how; software program concept and perform; schooling; computing device purposes in expertise; communique structures; platforms modeling and optimization; info structures; pcs and society; computers know-how; defense and security in info processing platforms; synthetic intelligence; and human-computer interplay. court cases and post-proceedings of refereed overseas meetings in computing device technological know-how and interdisciplinary fields are featured. those effects usually precede magazine e-book and symbolize the most up-tp-date study. The important objective of the IFIP sequence is to inspire schooling and the dissemination and alternate of knowledge approximately all facets of computing.

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Additional resources for Computer and Computing Technologies in Agriculture II, Volume 3: The Second IFIP International Conference on Computer and Computing Technologies in Agriculture (CCTA2008), October 18-20, 2008, Beijing, China

Example text

A “one page” style application means user can perform all actions that application provides in one user interface, just like Word or Excel. User can create a model then edit it, save it, and edit it again. With this kind of web application, we can provide the same user experience as desktop application. 2 shows the user interface of regional agriculture industry structure optimization modeling tool: Figure 2. User Interface of Modeling Tool The whole page is divided to 4 parts; first one is for filling model’s basic information such as model name, model description; second part is variables setting panel, user can add or remove decision variable in this part; third part is objective function editing panel; and the last part is for editing constraint functions.

4 that when r varies from 2 to 103 pixels, there do exist distinct linear relationship between log( 1 r ) and log( N( r )) . Fitting the scatter plots in the region from r = 2 to r = 103 , the slop of fitting straight line, so the DBC of the paddy spike, can be calculated. The results for every sample are presented in Table 1. Table 1. 561 1538 Hongju Gong , Hua Li , Haiming Yu , Changying Ji A regression analysis between the FDs and the yields of paddy spikes was performed. 0. fitting equations can be easily obtained.

Kenneth, F. (1991). Fractal Geometry-Mathematical Foundations and Applications. Shenyang, Shenyang University Publishing Company. kunjie, C. (2005). Study on Beef Automatic Grading Based on Fractal Dimension & Machine Vision. Nanjing, Nanjing Agricultural University. Doctor. Runbing, H. (2001). 0. Chongqin, Chongqin Publishing Company. Shi-rong, Z. and G. Guosu (2002). " Plant Protection 28 (6): 9-13. shuyin, Y. (2003). Digital Image Processing Using VC++. Beijin, TsingHua publishing company. Tao, Z.

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