Skip to main content

Advertisement

Log in

Research and application of information service platform for agricultural economic cooperation organization based on Hadoop cloud computing platform environment: taking agricultural and fresh products as an example

  • Published:
Cluster Computing Aims and scope Submit manuscript

Abstract

At present, information technology has become to promote economic development and social progress is the most crucial technical factors, with the application of biotechnology and information technology in agriculture on the deepening of modern agriculture and information agriculture will be even more rapid development. Agricultural information system, as the carrier of agricultural information technology, plays a more and more important role in promoting the sustained, stable and efficient development of agriculture. Hadoop is a free open source cloud platform and a software framework that allows distributed processing of large data on cluster computers. It is a reliable, efficient and scalable cloud platform, which is suitable for simulation test in the laboratory environment. In this paper, the design and implementation of agricultural economic cooperation organization information service platform for agricultural fresh products and cloud computing technology based on Hadoop is studied. This paper mainly introduces the cloud service platform based on Hadoop, and analyzes the application of cloud services in agricultural informatization. This paper mainly designs and implements the design of agricultural fresh products information service platform based on Hadoop cloud computing platform, including architecture, knowledge base, platform interface and main functional modules.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  1. Balamurugan, S., Divyabharathi, N., Jayashruthi, K., Bowiya, M., Shermy, R. P., Shanker, R.: Internet of agriculture: applying IoT to improve food and farming technology. Int. Res. J. Engg. Tech. 3(10), 713–719 (2016)

    Google Scholar 

  2. Liu, H. C., Sung, W. P., Yao, W. (eds.): Information, Computer and Application Engineering: Proceedings of the International Conference on Information Technology and Computer Application Engineering (ITCAE 2014), 10–11 December 2014. CRC Press, Hong Kong, China (2015)

    Google Scholar 

  3. Zhao, R., Kou, Y., Du, R., et al.: Research on Construction of Cloud Service, pp. 556–564. Springer, Berlin (2015)

    Google Scholar 

  4. Rao, N.H.: Big Data and Climate Smart Agriculture-Review of Current Status and Implications for Agricultural Research and Innovation in India (2017)

  5. Vermesan, O., Friess, P. (eds.): Internet of things-from research and innovation to market deployment, vol. 29. River Publishers, Aalborg (2014)

    Google Scholar 

  6. Sharma, S., Tim, U. S., Gadia, S., & Wong, J.: Proliferating Cloud Density through Big Data Ecosystem, Novel XCLOUDX Classification and Emergence of as-a-Service Era, pp. 1–20 (2015)

  7. Roy, A.K.: Applied Big Data Analytics. Paperback. Create space Independent Publishing Platform (2015)

  8. Xu, F.J., Zhao, V.P., Shan, L., Huang, C.: A framework for developing social networks enabling systems to enhance the transparency and visibility of cross-border food supply chains. GSTF. J. Comp. 3(4), 132–144 (2014)

    Google Scholar 

  9. Yuan, L., Li, Z.: A Research to Construct the Interactive Platform for Integrated Information of Agricultural Products in China Xinjiang Computer and Computing Technologies in Agriculture Iv—Ifip Tc 12 Conference, ccta 2010 Selected Papers, 500–511 (2017)

  10. Liu, X., Anand, R., Xiong, G., Shang, X., Liu, X.: Big Data and Smart Service Systems. Academic Press (2016)

  11. Dahlman, C., Mealy, S., Wermelinger, M.: Harnessing the digital economy for developing countries. OECD Development Centre Working Papers, No. 334 (2016)

  12. Huang, Y., Co, P., M.: GIS Cloud Platform and Application of Agricultural Bank of China Based on Big Data on TB Level. Geomatics World (2016)

  13. Liu, G.M., Yan-Bin, J.I., Sun, X.L., et al.: Designs on Closed Cycle Type Platform of Freshwater Fish Aquaculture based on Cloud Computing. Hubei Agricultural Sciences, Wuhan (2015)

    Google Scholar 

  14. Junfeng L U, Deng Z, Chen D, et al. Development and Application of Xiamen Marine Environmental Warning Comprehensive Information Service Platform Based on SuperMapGIS. Ocean Development & Management, 2017

  15. Cen, Y., C., Yun, Y., E., Zhang, B., et al.: Design and Implementation of Web Services Platform for Agricultural Professional Town Based on the Cloud Service. Hubei Agricultural Sciences, 2017

  16. Tu, W., Gan, L., Qiao, X., et al.: Design and Research of the Center of Arts Complex Laboratory Information Service Platform Based on Hadoop International Conference on Electronic Science and Automation Control (2015)

  17. Sharma, S.: Expanded cloud plumes hiding Big Data ecosystem. Future Gener. Comp. Sys. 59, 63–92 (2016)

    Article  Google Scholar 

  18. Stoica, I., Song, D., Popa, R.A., Patterson, D., Mahoney, M. W., Katz, R., Goldberg, K., et al.: A berkeley view of systems challenges for ai. arXiv preprint arXiv:1712.05855 (2017)

  19. Sundararajan, A.: The Sharing Economy: The End of Employment and the Rise of Crowd-based Capitalism. MIT Press (2016)

  20. Xu, F.J., Zhao, V.P., Shan, L., Huang, C.: A Framework for Developing Social Networks Enabling Systems to Enhance the Transparency and Visibility of Cross-Border Food Supply Chains. GSTF Journal on Computing (JoC) 3(4), 132 (2014)

    Article  Google Scholar 

  21. Taft, J.D., Becker-Dippmann, A.S.: The Emerging Interdependence of the Electric Power Grid and Information and Communication Technology (No. PNNL–24643). Pacific Northwest National Laboratory (PNNL), Richland (2015)

    Google Scholar 

  22. Eagle, Nathan, Kate, Greene: Using Big Data to Engineer a Better World. Mit Press, Reality mining (2014)

    Google Scholar 

  23. McNeill, D.: A Framework for Applying Analytics in Healthcare: what can be Learned from the Best Practices in Retail, Banking, Politics, and Sports. FT Press, New Jersey (2013)

    Google Scholar 

  24. National Academies of Sciences, Engineering, and Medicine.: Big data and analytics for infectious disease research, operations, and policy. In: Proceedings of a Workshop. National Academies Press, Washington (2016)

  25. Dalmia, Nihar: Evaluation of the Business Case for Using Analytics for Corporate Sustainability and Overcoming the Challenges in its Execution. Massachusetts Institute of Technology, Diss (2014)

    Google Scholar 

  26. Lord, B.W., Ray, V.: Converge: Transforming Business at the Intersection of Marketing and Technology. Wiley, New Jersey (2013)

    Google Scholar 

  27. IUIT, A.: Research and construction of an integrated model of multi-criteria problem of evaluation of the effectiveness of cloud IT services. Doctoral dissertation, Kazakh National Technical University (2014)

  28. Vermesan, O., Friess, P., Guillemin, P., Sundmaeker, H., Eisenhauer, M., Moessner, K., Cousin, P.: Internet of Things Strategic Research and Innovation Agenda, p. 7. River Publishers Series in Communications, Florence

    Google Scholar 

  29. Rashid, A.N.M.: Access methods for big data: current status and future directions. EAI Endorsed Trans. Scal. Info. Sys. 4(15), 153520 (2017)

    Google Scholar 

  30. Bristol, R. S., et al. Science strategy for core science systems in the US Geological survey, 2013-2023: Public Review Release. Technical report. US Geological survey (2012)

  31. Bouhaï, N., Saleh, I. (eds.): Internet of Things: Evolutions and Innovations. John Wiley & Sons (2017)

  32. Taft, J.D., Becker-Dippmann, A.S.: The emerging interdependence of the electric power grid & information and communication technology (No. PNNL–24643). Pacific Northwest National Laboratory (PNNL), Richland, WA (United States) (2015)

  33. Vossen, G., Schönthaler, F., Dillon, S.: IT and the enterprise. In: The Web at Graduation and Beyond, pp. 157–221. Springer, Cham (2017)

    Chapter  Google Scholar 

  34. Francisco, R.: Flexible, multi-platform middleware for wireless sensor and actuator networks. Doctoral dissertation, MsC Thesis, IST (2014)

  35. Lima, L., C., B., D.: Big data for data analysis in financial industry. Doctoral dissertation (2014)

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jianting Fu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Fu, J., Zhang, Z. & Lyu, D. Research and application of information service platform for agricultural economic cooperation organization based on Hadoop cloud computing platform environment: taking agricultural and fresh products as an example. Cluster Comput 22 (Suppl 6), 14689–14700 (2019). https://doi.org/10.1007/s10586-018-2380-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10586-018-2380-z

Keywords

Navigation