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

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51#
發(fā)表于 2025-3-30 09:37:53 | 只看該作者
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發(fā)表于 2025-3-30 12:24:44 | 只看該作者
Service Innovation and Future Lifeodel. The model is solved by computer numerical simulation. The drying experiments of wet rapeseeds are conducted in a normal atmosphere. The experimental results agreeing well with the simulation results show that the mathematical model of drying process is effective.
53#
發(fā)表于 2025-3-30 20:01:47 | 只看該作者
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發(fā)表于 2025-3-30 20:45:27 | 只看該作者
The Classic Swine Fever Morbidity Forecasting Research Based on Combined Model,sults is 97.379%, more accurate and more steady than traditional methods. This research provides efficient Analytical tools for animals’ diseases forecasting work, and can provide reference to other animal diseases.
55#
發(fā)表于 2025-3-31 01:59:26 | 只看該作者
56#
發(fā)表于 2025-3-31 05:21:41 | 只看該作者
,Research on the “Three Networks in One” Orchard Production Information Service System,n network, fixed-line telephone network and the Internet network (Three Networks) together to realize the seamless bridging of information, so as to broaden the service scope of the application system on the internetwork. The agricultural experts and/or agricultural technology promoters could provid
57#
發(fā)表于 2025-3-31 11:34:04 | 只看該作者
Rapid Identification of Waste Cooking Oil with Near Infrared Spectroscopy Based on Support Vector Mbined with support vector machine (SVM). Principal component analysis (PCA) has been carried out on the base of the combination of spectral pretreatment of vector normalization, first derivation and nine point smoothing, and seven principal components are selected. The radial basis function (RBF) is
58#
發(fā)表于 2025-3-31 13:41:50 | 只看該作者
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發(fā)表于 2025-3-31 20:22:03 | 只看該作者
60#
發(fā)表于 2025-4-1 00:47:21 | 只看該作者
Design and Development of Dissolved Oxygen Real-Time Prediction and Early Warning System for Brocadstponed. It is necessary to conduct prediction and early warning on quality in accordance with its historical state and current state. This paper aims to conduct prediction and warning in terms of the DO content in carp aquaculture using neural network and decision tree, and try to complete the diss
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