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Analysis of the policy guarantee mechanism of rural infrastructure based on deep learning

Author

Listed:
  • Jin, Xin
  • Zuo, Xiangbin
  • Dong, Xiaoli
  • Dong, YanJiao
  • Ding, Huanhuan

Abstract

Rural infrastructure is the key factor affecting the farmers’ income and agricultural production, and plays an important role in development of rural areas. In order to ensure continuous improvement and sustainable development of rural infrastructure, it is necessary to establish a set of guarantee mechanisms that involve policies and regulations, organizational leadership, capital investment and system management of rural infrastructure. Deep learning is a method that simulates the human brain to extract features from input data in a hierarchical manner and thereby improves data interpretation. The better interpreted data can enhance the accuracy of detection and forecast tasks. This paper analyzes the policy guarantee mechanism of rural key infrastructure policies based on deep learning to provide a scientific basis for application of this mechanism in rural China.

Suggested Citation

  • Jin, Xin & Zuo, Xiangbin & Dong, Xiaoli & Dong, YanJiao & Ding, Huanhuan, 2021. "Analysis of the policy guarantee mechanism of rural infrastructure based on deep learning," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    • Handle: RePEc:eee:tefoso:v:166:y:2021:i:c:s0040162521000378
    DOI: 10.1016/j.techfore.2021.120605
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    References listed on IDEAS

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    1. Nikita Singh & Manu Vardhan, 2019. "Distributed Ledger Technology based Property Transaction System with Support for IoT Devices," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 9(2), pages 60-78, April.
    2. Shweta Kaushik & Charu Gandhi, 2019. "Ensure Hierarchal Identity Based Data Security in Cloud Environment," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 9(4), pages 21-36, October.
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    Citations

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    Cited by:

    1. Diandian Hao & Ziyi Yan & Yanan Wang & Bowen Wang, 2022. "Effect of Village Informal Institutions and Cadre-Mass Relationship for Farmers’ Participation in Rural Residential Environment Governance in China," IJERPH, MDPI, vol. 20(1), pages 1-16, December.
    2. Fang Zhou & Xinran Guo & Chengye Liu & Qiaoyun Ma & Sandang Guo, 2023. "Analysis on the Influencing Factors of Rural Infrastructure in China," Agriculture, MDPI, vol. 13(5), pages 1-17, April.
    3. Dibrova, Anatolii & Ilchuk, Mykola & Konoval, Ivan & Androsovych, Ivan & Zanizdra, Artur, 2023. "State support for agriculture in Ukraine in the post-war period," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 9(3), September.
    4. Ji-Qin Ren & Ya-Wen Yang & Yuan-Ying Chi, 2022. "Research on Straw-Based High-Quality Energy in China under the Background of Carbon Neutrality," Energies, MDPI, vol. 15(5), pages 1-14, February.

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