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Titlebook: Computer and Computing Technologies in Agriculture IV; 4th IFIP TC 12 Confe Daoliang Li,Yande Liu,Yingyi Chen Conference proceedings 2011 I

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發(fā)表于 2025-3-21 17:07:27 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computer and Computing Technologies in Agriculture IV
副標(biāo)題4th IFIP TC 12 Confe
編輯Daoliang Li,Yande Liu,Yingyi Chen
視頻videohttp://file.papertrans.cn/235/234339/234339.mp4
概述State-of-the-art research.Fast-track conference proceedings.Unique visibility
叢書名稱IFIP Advances in Information and Communication Technology
圖書封面Titlebook: Computer and Computing Technologies in Agriculture IV; 4th IFIP TC 12 Confe Daoliang Li,Yande Liu,Yingyi Chen Conference proceedings 2011 I
描述This bookconstitutes Part II of the refereed four-volume post-conference proceedings of the 4th IFIP TC 12 International Conference on Computer and Computing Technologies in Agriculture, CCTA 2010, held in Nanchang, China, in October 2010. The 352 revised papers presented were carefully selected from numerous submissions. They cover a wide range of interesting theories and applications of information technology in agriculture, including simulation models and decision-support systems for agricultural production, agricultural product quality testing, traceability and e-commerce technology, the application of information and communication technology in agriculture, and universal information service technology and service systems development in rural areas.
出版日期Conference proceedings 2011
關(guān)鍵詞GIS; agriculture; communication technology; decision support networks; distributed computing; e-commerce;
版次1
doihttps://doi.org/10.1007/978-3-642-18336-2
isbn_softcover978-3-642-26714-7
isbn_ebook978-3-642-18336-2Series ISSN 1868-4238 Series E-ISSN 1868-422X
issn_series 1868-4238
copyrightIFIP International Federation for Information Processing 2011
The information of publication is updating

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Resources: The Rossport 5 (Shell to Sea)tively 0.8042, 0.8547 and 0.9337. It was feasible to diagnose lettuce water content by using multi-sensor information fusion of reflectance spectroscopy, multi-spectral images and canopy temperature. The correct rate and robustness of the discriminating model from multi-sensor information fusion wer
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An Introduction to Accretion Disksthis research. The results indicated that the optimal time monitoring PDC would be from squaring to full-flowering of cotton growing period. A demonstration to monitor . was taken on June 9. in the 148. farm of XPCC. It can be concluded that the emergence time and the non-cotton background were the
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The Environments of the Sun and the Stars validation. A one-against- all multi-class SVM model was built, and the result showed that SVM possessing with the RBF kernel function has the best identification capabilities with the accuracy of 100%. This research indicated that the mixed algorithm method of principal component analysis( PCA) an
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https://doi.org/10.1007/978-1-4757-1607-8g motor was used to control the seeding rate in the laboratory. The results showed that reliability of the sound-light alarm system was 100% and the photoelectric sensor could detect more than 95% seeds passed it.
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Influences of Temperature of Vapour-Condenser and Pressure in the Vacuum Chamber on the Cooling Rat61kPa. However, the surface temperature of cooked meat occurred freezing when the final pressure in the vacuum chamber was 0.3kPa. Therefore, in order to reduce the cooling time and avoid freezing, the temperature of vapour-condenser should be set around - 30°C~-40°C and the final pressure in the va
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