Download Computer and Computing Technologies in Agriculture VI: 6th by Yun Qiu, Jingchao Fan, Lin Hu, Guomin Zhou (auth.), Daoliang PDF

By Yun Qiu, Jingchao Fan, Lin Hu, Guomin Zhou (auth.), Daoliang Li, Yingyi Chen (eds.)

The two-volume set IFIP AICT 392 and 393 constitutes the refereed post-conference court cases of the sixth IFIP TC five, SIG 5.1 foreign convention on computing device and Computing applied sciences in Agriculture, CCTA 2012, held in Zhangjiajie, China, in October 2012. The 108 revised papers provided have been rigorously chosen from a variety of submissions. They conceal quite a lot of fascinating theories and functions of knowledge know-how in agriculture, together with net of items and cloud computing; simulation versions and decision-support structures for agricultural construction; clever sensor, tracking, and keep an eye on expertise; traceability and e-commerce know-how; laptop imaginative and prescient, special effects, and digital fact; the applying of knowledge and verbal exchange know-how in agriculture; and common info carrier know-how and repair structures improvement in rural components. The fifty three papers integrated within the first quantity specialize in determination aid platforms, clever platforms, and synthetic intelligence applications.

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Read Online or Download Computer and Computing Technologies in Agriculture VI: 6th IFIP WG 5.14 International Conference, CCTA 2012, Zhangjiajie, China, October 19-21, 2012, Revised Selected Papers, Part I PDF

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Example text

The number of compensation refers to the number of data that referenced in order to correct and compensate data when the data is missing or error. 2 Real-Time Prediction and Warning of DO Natural Network Neural network simulates human brain memory and learning activities, and can solve problems such as classification, identification and prediction [2]. BP algorithm is a kind of feedback neural network algorithm, and is realized by multiple iterations. A learning process is composed by forward propagation of data input and backpropagation of error.

Li According to the research object, the JSP page consists with user needs, and the model is responsible for realizing the various functional models, and servlets (control layer) response page and call for the corresponding model. 2 The Implementation of DO Real-Time Predict and Early Warning System The prediction module includes two kinds of methods: neural network prediction and decision tree prediction. These serve for dissolved oxygen prediction, and belong to the same prediction module, including performing prediction, saving the results, showing the results.

4. Dissolved oxygen prediction curve in 10 minutes In addition, the user can view the prediction results of dissolved oxygen content in 10 minutes, 30 minutes, and 60 minutes. Fig. 5 shows the predict value of DO content using BP algorithm. Fig. 5. Predict results 42 H. Xue, L. Wang, and D. Li In the parameter management module, the expert can view and modify the critical parameters, including learning rate, momentum factor, the number of hidden layer nodes, learning steps, and training times, and etc.

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