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Application Study of Precision Agriculture Based on Ontology in the Internet of Things Environment

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 227))

Abstract

Agricultural knowledge resources are distributive, heterogeneous and polymorphic. Knowledge representation, organization and integrated application is a complicated and challenging problem in the environment of distributed computing. This paper reviews present condition of domestic and foreign researches on agricultural ontology, and introduces the ontology theory and agricultural knowledge representation method, meanwhile, this paper put forward the self-adaptive study method of agriculture ontology based on multi-agent.

This work is partially supported by Zhejiang Science and technology projects (2009C34015) and Xinmiao talents Project of Zhejiang Province (2007R408067).

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References

  1. Wang, m.: Development of Precision Agriculture and Innovation of Engineering Technologies. Transactions of the Chinese Society of Agricultural Engineering 15(1), 1–8 (1999)

    Google Scholar 

  2. Piao, X., Ma, C.: Precision Agriculture——A New Management Technique of Agricultural Production. Transactions of the Chinese Society of Agricultural Machinery 30(5), 112–118 (1999)

    Google Scholar 

  3. Sini, M., Salokhe, G., Pardy, C., et al.: Ontology-based Navigation of Bibliographic Metadata: Example from the Food, Nutrition and Agriculture. In: Proceedings of the International Conference on the Semantic Web and Digital Libraries, Rome,Italy, pp. 64–76 (2007)

    Google Scholar 

  4. Lauser, B., Keizer, J.: A Comprehensive Framework for Building Multilingual Domain Ontologies: Creating Prototype Biosecurity Ontology. In: Proceedings of the International Conference on Dublin core and Metadata Applications:Metadata for E-communities: Supporting Diversity and Convergence, Germany,Dublin, pp. 31–41 (2002)

    Google Scholar 

  5. Kokla, M., Kavouras, M.: Semantic Information in Geo-Ontologies: Extraction, Comparison, and Reconciliation. Journal on Data Semantics III, 125–142 (2005)

    Google Scholar 

  6. Ping, Q., Yelu, Z.: Study and Application of Agricultural Ontology. China Agricultural Science and Technology Publishing House, Beijing (2006)

    Google Scholar 

  7. Xia, Q.: Strategy and countermeasuresof Agricultural Information Application in Poor Area. Rural Economy (7), 91–93 (2005)

    Google Scholar 

  8. Qiwei, D.: Modern Rural Distance Education and Farmer Training. Journal of Library and Information Sciences in Agriculture 20(1), 8–10 (2008)

    Google Scholar 

  9. Xie, N., Wang, W.: Ontology and acquiring of agriculture knowledge. Agriculture Network Information (8), 13–14 (2007)

    Google Scholar 

  10. Zhang, W.: Model and Application of Semantic Information, pp. 77–79. Electronic Industry Press, Beijing (2002)

    Google Scholar 

  11. Sun, J., Miu, H., Liu, L.: Intelligent Service–the Research of Integrating Web Service and Semantic Web. Computer Engineering and Applications 40(9), 144–145 (2004)

    Google Scholar 

  12. Liu, B., Gao, J.: Research On Web-based General Ontology Learning. Zhejiang University, Hangzhou (2007)

    Google Scholar 

  13. Ma, W., Du, X.: An Evaluation Framework for Domain Ontology. Library and Information Service 50(10), 68–75 (2006)

    Google Scholar 

  14. Brank, J., Grobelnik, M., Mladenic, D.: A Survey of Ontology Evaluation Techniques. In: Proceedings of Conference on Data Mining and Data Warehouses, Ljubljana, Slovenia (2005)

    Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Min, Z., Bei, W., Chunyuan, G., Zhao qian, S. (2011). Application Study of Precision Agriculture Based on Ontology in the Internet of Things Environment. In: Zhang, J. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23226-8_49

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  • DOI: https://doi.org/10.1007/978-3-642-23226-8_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23225-1

  • Online ISBN: 978-3-642-23226-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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