Skip to main content
Springer Nature Link
Log in

An Evaluation Model of the Efficiency of Agricultural Information Resources Allocation in the Big Data Environment

  • Conference paper
  • First Online:
Multimedia Technology and Enhanced Learning (ICMTEL 2020)

  • 536 Accesses

Abstract

In order to improve the ability of optimal allocation of agricultural information resources, analysis of agricultural information resources allocation efficiency, optimize the allocation of agricultural information resources, has become an important issue. An evaluation method of allocation efficiency of agricultural information resources based on huge data is raised, and the software development and design of configuration efficiency evaluation model are carried out in combination with embedded LINUX system. The big data distributed storage structure model of agricultural information resources is constructed. Quantitative regression analysis and adaptive game method are used for quantitative evaluation of agricultural information resources, big data information of agricultural information resources is excavated, regional grid clustering method is used for classification and recognition of agricultural information resources, and information fusion and adaptive scheduling of agricultural information resources are carried out under the optimized information fusion model. Embedded Linux technology is used to develop the evaluation model of agricultural information resource allocation efficiency in C/S client. The system includes data processing module, agricultural information resource allocation module, program loading module, bus scheduling module and human-computer interaction module. The integrated design technology is used to realize the software design of agricultural information resource allocation efficiency evaluation model. The test results show that the designed evaluation model of agricultural information resource allocation efficiency has good reliability and strong human-computer interaction ability, which improves the quantitative evaluation and optimal allocation ability of agricultural information resources.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Wang, S., Tu, H., Zhang, Y.: Cloud service composition method based on uncertain QoS-awareness. J. Comput. Appl. 38(10), 2753–2758 (2018)

    Google Scholar 

  2. Zhao, Y., Hua, Y., Yu, Z.: Improved particle swarm optimization algorithm based on twice search. J. Comput. Appl. 37(9), 2541–2546 (2017)

    Google Scholar 

  3. Wang, Y., Shi, L., Zhang, H., et al.: A data envelopment analysis of agricultural technical efficiency of Northwest Arid Areas in China. Front. Agric. Sci. Eng. 4(2), 195–207 (2017)

    Article  Google Scholar 

  4. Ding, Y., Peng, Z., Zhou, Y., et al.: Design and experiment of motion controller for information collection platform in field with Beidou positioning 33(12), 178–185 (2017)

    Google Scholar 

  5. Kang, N., Shen, J., Xu, M.: The study about intelligent manufacturing resource allocation efficiency based on mutual information criterion. Comput. Integr. Manuf. Syst. 23(9), 1842–1852 (2017)

    Google Scholar 

  6. Adamie, B.A., Balezentis, T., Asmild, M.: Environmental production factors and efficiency of smallholder agricultural households: using non-parametric conditional frontier methods. J. Agric. Econ. 70(1), 471–487 (2018)

    Google Scholar 

  7. Liu, Y.: Joint resource allocation in SWIPT-based multi-antenna decode-and-forward relay networks. IEEE Trans. Veh. Technol. 66(10), 9192–9200 (2017)

    Article  Google Scholar 

  8. Du, C., Chen, X., Lei, L.: Energy-efficient optimization for secrecy wireless information and power transfer in massive MIMO relaying systems. IET Commun. 11(1), 10–16 (2017)

    Article  Google Scholar 

  9. Wang, W., Wang, R., Mehrpouyan, H., et al.: Beamforming for simultaneous wireless information and power transfer in two-way relay channels. IEEE Access 5, 9235–9250 (2017)

    Article  Google Scholar 

  10. Mamut, J., Xiong, Y.-Z., Tan, D.-Y., et al.: Flexibility of resource allocation in a hermaphroditic-gynomonoecious herb through deployment of female and male resources in perfect flowers. Am. J. Botany 104, 461–467 (2017)

    Article  Google Scholar 

  11. Li, X., Rong, Z., Ruan, X.: Attribute reduction of relative indiscernibility relation and discernibility relation in relation decision system. J. Comput. Appl. 39(10), 2852–2858 (2019)

    Google Scholar 

  12. Kompas, T., Chu, L., Van Ha, P., et al.: Budgeting and portfolio allocation for biosecurity measures. Aust. J. Agric. Resour. Econ. 63(3), 412–438 (2019)

    Google Scholar 

  13. Ma, Y., Zhang, Z., Lin, C.: Research progress in similarity join query of big data. J. Comput. Appl. 38(4), 978–986 (2018)

    Google Scholar 

  14. Yuan, Q., Guo, J.: New ensemble classification algorithm for data stream with noise. J. Comput. Appl. 38(6), 1591–1595 (2018)

    Google Scholar 

  15. Liu, H., Yang, H., Zheng, K., et al.: Resource allocation schemes in multi-vehicle cooperation systems. J. Commun. Inf. Netw. 2(2), 113–125 (2017)

    Article  Google Scholar 

  16. Liu, S., Zhang, Z., Qi, L., et al.: A fractal image encoding method based on statistical loss used in agricultural image compression. Multimed. Tools Appl. 75(23), 15525–15536 (2016)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Jiangsu Agriculture and Animal Husbandry Vocational College, Taizhou, 225300, China

    Kun Wang

Authors
  1. Kun Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Kun Wang .

Editor information

Editors and Affiliations

  1. School of Informatics, University of Leicester, Leicestershire, UK

    Yu-Dong Zhang

  2. University of Leicester, Leicestershire, UK

    Shui-Hua Wang

  3. Human Normal University, Changsha, China

    Shuai Liu

Rights and permissions

Reprints and permissions

Copyright information

© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wang, K. (2020). An Evaluation Model of the Efficiency of Agricultural Information Resources Allocation in the Big Data Environment. In: Zhang, YD., Wang, SH., Liu, S. (eds) Multimedia Technology and Enhanced Learning. ICMTEL 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 326. Springer, Cham. https://doi.org/10.1007/978-3-030-51100-5_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-51100-5_26

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-51099-2

  • Online ISBN: 978-3-030-51100-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics