Author(s)

Yujie Yang ¹, Tingting Li ¹, Hongyu Zhu ¹

Affiliation(s)

¹ Dalian University of Science and Technology, 999-26 Lingang Road, Dalian, Liaoning, China

Corresponding Author

Tingting Li

ABSTRACT

Poverty eradication has always been the focus of national development, along with the development of the times, big data is more widely used in the application, combining big data with agricultural development will bring good effects to rural development.[1][2] Improving farm production, increasing the number of sales and saving costs will be an important way to get out of poverty, and big data plays a great role in agricultural development, combining big data technology with agriculture, introducing market information, planting methods and talent introduction into the countryside to better help rural areas get out of poverty.

KEYWORDS

Big data; Agricultural aid; Poverty eradication; Innovation Research

CITE THIS PAPER

Yujie Yang, Tingting Li, Hongyu Zhu, Research on the current situation of rural poverty alleviation and future development innovation in the era of big data. Industrial Engineering and Innovation Management (2023) Vol. 6: 23-27. DOI: http://dx.doi.org/10.23977/ieim.2023.060104.

REFERENCES

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[3] He Qin, Yang Zhengdan, Yin Dezhi. Research on the path of big data to help revitalize rural talents [J]. Modern Agricultural Research, 2020, 26(11):17-19.
[4] Meng X. The former poor village of Yanchi is now out of poverty for a new novelty [N]. China Business News, 2019-08-20(04).
[5] Wang Jiafang. Research on the development trend of big data in the era of intelligent agriculture [J]. Technology Economics and Management Research, 2020(02):124-128.
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[7] Chu Wenhong, Kong Xiangbin, Liu Ying, Sun Xiwen, Zhang Lianxiao. The current situation and countermeasures for the development of intelligent agriculture in Weifang [J]. Modern Agricultural Science and Technology, 2022(03): 221-223.
[8] Jin Songlan, Jinjin Li. Big data to help rural poverty alleviation in ethnic areas [J]. Journal of YanbianUniversity (SocialScienceEdition), 2020, 53(04):100-107.
[9] Xie K, Yi F M, Gu F T. Big data-driven digital transformation and innovation in agriculture [J]. Issues in Agricultural Economics, 2022(05):37-48. DOI:10.13246/j.cnki.iae.2022.05.010.
[10] Li M.K., Sun T.T., Hou H.T. "Internet+human society" helps poor households to find employment and promote precise poverty alleviation and rural revitalization in agriculture and rural areas [C]//. Proceedings of 2021 Education Science Webinar (II). [publisher unknown],2021:55-58.

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