Digital Technology Empowers the High-quality Development of Agriculture: Taking Intelligent Agriculture in Dasheng Town, Yubei District, Chongqing as an Example

DOI: https://doi.org/10.62517/jbdc.202301405

Author(s)

Mengjie Tang

Affiliation(s)

School of Economics, Southwest Minzu University, Chengdu, Sichuan, China

Abstract

Taking the smart agriculture in Dasheng Town, Yubei District, Chongqing as an example, this study explores the enabling role of digital technology in the high-quality development of agriculture. By reviewing existing research and combining field investigations, this paper summarizes the positive impacts of digital technology on improving agricultural production efficiency, enhancing the quality of agricultural products, and promoting agricultural sustainability, as well as the successful experience of the Dasheng Town smart agriculture project, providing experience and inspiration for other regions to use digital technology to promote agricultural modernization better. Through these above, the goal of high-quality agricultural development is achieved. Concurrently, in response to the shortcomings identified during the project's implementation, this paper proposes feasible suggestions from multiple aspects, including strengthening talent cultivation and introduction in the field of smart agriculture, enhancing policy support and incentive mechanisms, and promoting collaboration and scaled production. These suggestions serve as references for how digital technology can empower high-quality agricultural development in agriculture and the development of other smart agriculture projects under the context of rural revitalization.

Keywords

Digital Technology; High-Quality Development of Agriculture; Smart Agriculture; Dasheng Town; Rural Revitalization

References

[1] He Ningxiu, Shang Qingwei. Analysis on the Development path of Digital Agriculture in Lianyungang City under the background of Rural Revitalization. Modern Agricultural Science and Technology 2022 (14): 209-210 [2] Kamilaris A, Kartakoullis A, Prenafeta-Boldú, Francesc X. A review on the practice of big data analysis in agriculture. Computers and Electronics in Agriculture, 2017, 143: 23-37. [3] DI Patrícioa, Riederb R. Computer vision and artificial intelligence in precision agriculture for grain crops: A systematic review. Computers and Electronics in Agriculture, 2018, 153: 69-81. [4] Skvortcov E, Skvortsova E, Sandu I, et al. Transition of Agriculture to Digital, Intellectual and Robotics Technologies. Economy of region, 2018: 1-2. [5] Weersink A, Fraser E, D Pannell, et al. Opportunities and Challenges for Big Data in Agricultural and Environmental Analysis. 2018: 1-2. [6] Liu Ye, Li Xiandong. The Application of Digital Technology in Agriculture and its effect on the growth of Farmers' income Modern Agricultural Research 2024 (29): 32-33 [7] Li Tao, Liao Xiaoxia, Chen Jinrui. Research on the Coupling and coordinated Development of Digital Rural Construction and Rural Revitalization. Digital economy 2024 (1): 56-57 [8] Bi Dayu, ChuSheng. Digital rural construction, rural consumption upgrading and high-quality economic development. Journal of South-Central University for nationalities (Humanities and Social Sciences Edition). 2024: 1-3 [9] Chen Yangfu. Research on High-quality Agricultural Development driven by Digital economy, Master's thesis, Chengdu: southwest University of Finance and Economics, 2022: 12-13 [10] Fu Xinmei, Digital technology empowers high-quality development of agriculture and rural areas. Southwest Finance 2023 (07): 81-82;89. [11] Wen Tao, Chen Yiming. The integrated development of digital economy and agricultural and rural economy: practical model, practical obstacles and breakthrough path. Agricultural Economic problems, 2020 (07): 118-129 [12] Zhang Ying, Analysis and Countermeasures of Intelligent Agriculture Development in Henan Province. Henan Agriculture 2023 (31): 11-12