Research on Recognition of Maize Disease Based on Mobile Internet and Support Vector Machine Technique

Li Na Zhang; Bo Yang

doi:10.4028/www.scientific.net/AMR.905.659

Paper Titles

Virtual Machine Deployment Strategy Based on the CPU Weights
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Computional Dynamics for Diffusionless Lorenz Equations with Periodic Parametric Perturbation
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Research on the Current Development Situation of the Third-Generation Search Engine
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Research on Recognition of Maize Disease Based on Mobile Internet and Support Vector Machine Technique
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Action Design of Information Systems Security Governance for Bank Using COBIT 4.1 and Control Standard of ISO 27001
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Biometric Identification on the Basis of Facial Features and Modifications Thereof
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The Design of Intelligent Apartments for the Elderly Remote Management Control System Based on 3G
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 905Research on Recognition of Maize Disease Based on...

Research on Recognition of Maize Disease Based on Mobile Internet and Support Vector Machine Technique

Abstract:

This paper studies acquisition of image data of maize disease using web service method, it is a kind of mobile Internet technique, using the mobile terminal as the main tool for disease information collection, identify maize disease by using SVM (support vector machine) classification method in server, then return the recognition results to the mobile terminal in real time. It improves the efficiency of agricultural producers and technical staff, at the same time that SVM classifications with small training sample still have good generalization ability. In the experiment adjusts SVM parameters, experiment shows that this method is more suitable to the identification of maize disease.

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Periodical:

Advanced Materials Research (Volume 905)

Pages:

659-662

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.905.659

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Online since:

April 2014

Authors:

Li Na Zhang*, Bo Yang

Keywords:

Maize Disease, Mobile Internet Technique, Recognition Technique, SVM, Web Service

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* - Corresponding Author

References

[1] LIU Xiao-liang, DING Shi-fei. Appropriateness in applying SVMs to text classification[J]. Computer Engineering and Science, 2010, 32(6): 106-108.

Google Scholar

[2] XIE Sai-qin, SHEN Fu-ming, QIU Xue-na. Face recognition using support vector machines[J]. Computer Engineering, 2009, 35(16): 186-188.

Google Scholar

[3] GAO Wei, WANG Ning. Prediction of shallow-water reverberation time series using support vector machine[J]. Computer Engineering, 2008, 34(6): 25-27.

Google Scholar

[4] DAI Liu-ling, HUANG He-yan, CHEN Zhao-xiong. Ternary sequential analytic optimization algorithm for SVM classifier design[J]. Asian Journal of Information Technology, 2005, 4(3): 2-8.

Google Scholar