Profit Growth and Innovation: Application of Big Data Analysis Technology in Agricultural Economic Management
刊名 Asian Agricultural Research
作者 Xiaolan TANG, Yingzi HE, Biao CHEN, Haitao JIANG, Hubo JIANG, Xinyan TAN, Haiqin YE
作者单位 Guangxi Huawote Group Co.; Guangxi State-owned Qipo Forest Farm; Guangxi State-owned Weidu Forest Farm; Guangxi Forestry Research Institute
DOI 10.19601/j.cnki.issn1943-9903.2025.06.001
年份 2025
刊期 6
页码 1-5,10
关键词 Agricultural big data, Precision agriculture, Data-driven, Data security and privacy
摘要 In this paper, the application of agricultural big data in agricultural economic management is deeply explored, and its potential in promoting profit growth and innovation is analyzed. However, challenges persist in data collection and integration, limitations of analytical technologies, talent development, team building, and policy support when applying agricultural big data. Effective application strategies are proposed, including data-driven precision agriculture practices, construction of data integration and management platforms, data security and privacy protection strategies, as well as long-term planning and development strategies for agricultural big data, to maximize its impact on agricultural economic management. Future advancements require collaborative efforts in technological innovation, talent cultivation, and policy support, to realize the extensive application of agricultural big data in agricultural economic management and ensure sustainable industrial development.